{"id":37,"date":"2025-12-02T10:01:17","date_gmt":"2025-12-02T10:01:17","guid":{"rendered":"https:\/\/www.icada.com.tr\/?page_id=37"},"modified":"2026-04-20T10:44:13","modified_gmt":"2026-04-20T07:44:13","slug":"program","status":"publish","type":"page","link":"https:\/\/icada.com.tr\/en\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\n

Click here to download the Summary Program<\/a>.<\/p>\n\n\n\n

Click here to download the Entire Program<\/a>.<\/p>\n\n\n\n

ICADA 2026 ONLINE SEASON HALL A<\/strong> – https:\/\/teams.microsoft.com\/meet\/394363801078821?p=6chZCC9vyD9LYDtB9Q<\/a><\/p>\n\n\n\n

ICADA 2026 ONLINE SEASON HALL B<\/strong> – https:\/\/teams.microsoft.com\/meet\/333417078171388?p=wFJWVgjwuGlj4UuDR7<\/a><\/p>\n\n\n\n

ICADA 2026 ONLINE SEASON HALL C <\/strong>– https:\/\/teams.microsoft.com\/meet\/385369037638809?p=nntqD4kHNMC5zBBvVO<\/a><\/p>\n\n\n\n

ICADA 2026 ONLINE SEASON HALL D<\/strong> – https:\/\/teams.microsoft.com\/meet\/354265962609194?p=cscFbHgHVzL6OKd0Cu<\/a><\/p>\n\n\n\n

ICADA 2026 ONLINE SEASON HALL E<\/strong> – https:\/\/teams.microsoft.com\/meet\/318415523694582?p=8NEQPead7dlYJUMCv0<\/a><\/p>\n\n\n\n

Participants who will present papers<\/strong><\/h2>\n\n\n\n

*Important Note: Participants whose names are marked with an asterisk (*) and whose payment status is “Pending” will be removed from the final list if they do not complete their payment.<\/mark><\/h3>\n\n\n\n
    \n
  • CMT ID: 1 \u2013 Ay\u015feg\u00fcl Alaybeyo\u011flu \u2013 \u0130zmir K\u00e2tip \u00c7elebi University \u2013 Uncovering Hidden Thematic Bridges in Multidisciplinary Conferences: A Semantic Network Analysis of Document Similarity<\/li>\n\n\n\n
  • CMT ID: 1 \u2013 \u00dcmit Sarp \u2013 \u0130zmir K\u00e2tip \u00c7elebi University \u2013 Uncovering Hidden Thematic Bridges in Multidisciplinary Conferences: A Semantic Network Analysis of Document Similarity<\/li>\n\n\n\n
  • CMT ID: 2 \u2013 Amir Reza Asnafi* \u2013 Shahid Beheshti University \u2013 Artificial Intelligence and the Future of Library and Information Science Education<\/li>\n\n\n\n
  • CMT ID: 4 \u2013 Samed Gucuk \u2013 Ankara Yildirim Beyazit University \u2013 T\u00fcrkiye\u2019de Online \u0130\u015f \u0130lanlar\u0131 \u00dczerinden B\u00f6lgesel Beceri Talebinin Analizi: Bir Metin Madencili\u011fi ve Makine \u00d6\u011frenmesi Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 5 \u2013 Aditi Wankhade* \u2013 Vishwakarma Institute of Technology \u2013 Explainable Random Forest Models for Short-Horizon Stock Direction Prediction in Indian Equity Market<\/li>\n\n\n\n
  • CMT ID: 5 \u2013 Tejaswini Wankhede* \u2013 Vishwakarma Institute of Technology- Explainable Random Forest Models for Short-Horizon Stock Direction Prediction in Indian Equity Market<\/li>\n\n\n\n
  • CMT ID: 5 \u2013 Parth Sawant* \u2013 Vishwakarma Institute of Technology \u2013 Explainable Random Forest Models for Short-Horizon Stock Direction Prediction in Indian Equity Market<\/li>\n\n\n\n
  • CMT ID: 5 \u2013 Yash Chavan* \u2013 Vishwakarma Institute of Technology \u2013 Explainable Random Forest Models for Short-Horizon Stock Direction Prediction in Indian Equity Market<\/li>\n\n\n\n
  • CMT ID: 6 \u2013 Berna \u00c7al\u0131\u015fkan \u2013 Istanbul Technical University \u2013 A Genetic Algorithm Based Heuristic Optimization Technique for Solving Traveling Salesman Problem<\/li>\n\n\n\n
  • CMT ID: 6 \u2013 Ilg\u0131n G\u00f6ka\u015far \u2013 Bo\u011fazi\u00e7i University \u2013 A Genetic Algorithm Based Heuristic Optimization Technique for Solving Traveling Salesman Problem<\/li>\n\n\n\n
  • CMT ID: 7 \u2013 Kahraman Kostas \u2013 Milli E\u011fitim Bakanl\u0131\u011f\u0131 \u2013 CNN-Based IoT Device Identification: A Comparative Study on Payload vs. Fingerprint<\/li>\n\n\n\n
  • CMT ID: 11 \u2013 Do\u011fan Can Ak\u00e7in* \u2013 Trakya University \u2013 Artificial Intelligence in L2 Grammar Instruction: A Theoretical and Pedagogical Framework<\/li>\n\n\n\n
  • CMT ID: 11 \u2013 B\u00fc\u015fra \u015eanl\u0131 Ak\u00e7in* \u2013 Trakya University \u2013 Artificial Intelligence in L2 Grammar Instruction: A Theoretical and Pedagogical Framework<\/li>\n\n\n\n
  • CMT ID: 12 \u2013 \u0130dil Ozturk \u2013 Maltepe University \u2013 WaveNet: Wavelet Tabanl\u0131 Derin \u00d6\u011frenme ile M\u00fc\u015fteri Kayb\u0131 (Churn) Tahmini<\/li>\n\n\n\n
  • CMT ID: 12 \u2013 Emre Atl\u0131er Olca \u2013 Maltepe University \u2013 WaveNet: Wavelet Tabanl\u0131 Derin \u00d6\u011frenme ile M\u00fc\u015fteri Kayb\u0131 (Churn) Tahmini<\/li>\n\n\n\n
  • CMT ID: 13 \u2013 Beyzanur B\u00f6y\u00fckmedar \u2013 \u0130zmir Katip \u00c7elebi \u00dcniversitesi \u2013 Predictive Maintenance Using Machine Learning Methods in Industrial Applications<\/li>\n\n\n\n
  • CMT ID: 13 \u2013 Hakan Dalk\u0131l\u0131\u00e7 \u2013 Ya\u015far \u00dcniversitesi \u2013 Predictive Maintenance Using Machine Learning Methods in Industrial Applications<\/li>\n\n\n\n
  • CMT ID: 13 \u2013 Ay\u015feg\u00fcl Alaybeyo\u011flu \u2013 \u0130zmir Katip \u00c7elebi \u00dcniversitesi \u2013 Predictive Maintenance Using Machine Learning Methods in Industrial Applications<\/li>\n\n\n\n
  • CMT ID: 14 \u2013 Furkan Aksoy \u2013 Maltepe \u00dcniversitesi \u2013 Fusion-Ranked Evidence Selection and Multi-Model Arbitration for Turkish Natural Language Analytics over Relational Schemas<\/li>\n\n\n\n
  • CMT ID: 14 \u2013 Emre Atl\u0131er Olca \u2013 Maltepe University \u2013 Fusion-Ranked Evidence Selection and Multi-Model Arbitration for Turkish Natural Language Analytics over Relational Schemas<\/li>\n\n\n\n
  • CMT ID: 15 \u2013 Edibe Yilmaz \u2013 Milli Egitim Bakanligi \u2013 There Are No Silly Questions: Evaluation of Offline LLM Capabilities from a Turkish Perspective<\/li>\n\n\n\n
  • CMT ID: 15 \u2013 Kahraman Kostas \u2013 Milli E\u011fitim Bakanl\u0131\u011f\u0131 \u2013 There Are No Silly Questions: Evaluation of Offline LLM Capabilities from a Turkish Perspective<\/li>\n\n\n\n
  • CMT ID: 16 \u2013 Avanindraa Nagarajan* \u2013 Amrita Vishwa Vidyapeetham University Chennai Campus \u2013 Scalable Low-Latency Keyword Spotting Using DS-CNN for Energy-Efficient Edge Microcontroller Deployment<\/li>\n\n\n\n
  • CMT ID: 16 \u2013 Mudavathu Akshanth Chouhan* \u2013 Amrita Vishwa Vidyapeetham University Chennai Campus \u2013 Scalable Low-Latency Keyword Spotting Using DS-CNN for Energy-Efficient Edge Microcontroller Deployment<\/li>\n\n\n\n
  • CMT ID: 16 \u2013 M. Chandralekha* \u2013 Amrita Vishwa Vidyapeetham University Chennai Campus \u2013 Scalable Low-Latency Keyword Spotting Using DS-CNN for Energy-Efficient Edge Microcontroller Deployment<\/li>\n\n\n\n
  • CMT ID: 17 \u2013 Emrullah Gazio\u011flu \u2013 \u015e\u0131rnak \u00dcniversitesi \u2013 Materyalize G\u00f6r\u00fcn\u00fcm Se\u00e7imi i\u00e7in Hibrit \u00c7oklu-Ba\u015flang\u0131\u00e7 Memetik Algoritma: Parametre Duyarl\u0131l\u0131k Analizi<\/li>\n\n\n\n
  • CMT ID: 22 \u2013 \u0130pek Dedeo\u011flu \u2013 Maltepe University \u2013 InnerFace: A Multimodal AI System for Detecting Subconscious Emotional Inconsistencies<\/li>\n\n\n\n
  • CMT ID: 22 \u2013 Nur\u015feyda Do\u011fan \u2013 Maltepe University \u2013 InnerFace: A Multimodal AI System for Detecting Subconscious Emotional Inconsistencies<\/li>\n\n\n\n
  • CMT ID: 22 \u2013 Emre Atl\u0131er Olca \u2013 Maltepe University \u2013 InnerFace: A Multimodal AI System for Detecting Subconscious Emotional Inconsistencies<\/li>\n\n\n\n
  • CMT ID: 23 \u2013 \u0130pek Dedeo\u011flu \u2013 Maltepe University \u2013 AI-Based Dead Stock Risk Prediction for E-Commerce Inventory Management<\/li>\n\n\n\n
  • CMT ID: 23 \u2013 Emre Atl\u0131er Olca \u2013 Maltepe University \u2013 AI-Based Dead Stock Risk Prediction for E-Commerce Inventory Management<\/li>\n\n\n\n
  • CMT ID: 24 \u2013 B\u00fc\u015fra Nur Hakbilen \u2013 Bolu Abant Izzet Baysal University \u2013 Fotopletismografi (PPG) Sinyalleri ve Makine \u00d6\u011frenmesi Teknikleri Kullan\u0131larak \u0130nsan Aktivitesi S\u0131n\u0131fland\u0131r\u0131lmas\u0131 (Human Activity Classification Using Photoplethysmography (PPG) Signals and Machine Learning Techniques)<\/li>\n\n\n\n
  • CMT ID: 24 \u2013 Kemal Polat \u2013 Bolu Abant Izzet Baysal University \u2013 Fotopletismografi (PPG) Sinyalleri ve Makine \u00d6\u011frenmesi Teknikleri Kullan\u0131larak \u0130nsan Aktivitesi S\u0131n\u0131fland\u0131r\u0131lmas\u0131 (Human Activity Classification Using Photoplethysmography (PPG) Signals and Machine Learning Techniques)<\/li>\n\n\n\n
  • CMT ID: 25 \u2013 Servet K\u0131l\u0131\u00e7 \u2013 Ordu University \u2013 Educational Policies and Strategies Adopted in Different Countries Regarding Artificial Intelligence<\/li>\n\n\n\n
  • CMT ID: 26 \u2013 Servet K\u0131l\u0131\u00e7 \u2013 Ordu University \u2013 Student Opinions on the Functionality and Perceptions of Learning Performance of ChatGPT Used in Educational Robotics Applications<\/li>\n\n\n\n
  • CMT ID: 27 \u2013 Ali \u00c7\u0131nar \u2013 Kastamonu University \u2013 Data Preparation Strategies for Multimodal Radiology Report Generation: A Pilot Study on MIMIC-CXR<\/li>\n\n\n\n
  • CMT ID: 27 \u2013 Semih Ergin \u2013 Eski\u015fehir Osmangazi \u00dcniversitesi \u2013 Data Preparation Strategies for Multimodal Radiology Report Generation: A Pilot Study on MIMIC-CXR<\/li>\n\n\n\n
  • CMT ID: 29 \u2013 Z\u00fcleyha Irmak \u2013 Adana Alparslan T\u00fcrke\u015f Science and Technology University \u2013 A Neuropsychiatric Disorder Analysis with Deep Learning Approach<\/li>\n\n\n\n
  • CMT ID: 29 \u2013 Esra Sara\u00e7 E\u015fsiz \u2013 Adana Alparslan T\u00fcrke\u015f Science and Technology University \u2013 A Neuropsychiatric Disorder Analysis with Deep Learning Approach<\/li>\n\n\n\n
  • CMT ID: 30 \u2013 Elif Kavak \u2013 Adana Alparslan T\u00fcrke\u015f Science and Technology University \u2013 Sarcasm Detection in Turkish Social Media: An Empirical Evaluation of Preprocessing Combinations<\/li>\n\n\n\n
  • CMT ID: 30 \u2013 M\u00fcmine Kaya Kele\u015f \u2013 Adana Alparslan T\u00fcrke\u015f Science and Technology University \u2013 Sarcasm Detection in Turkish Social Media: An Empirical Evaluation of Preprocessing Combinations<\/li>\n\n\n\n
  • CMT ID: 30 \u2013 Z\u00fcleyha Irmak \u2013 Adana Alparslan T\u00fcrke\u015f Science and Technology University \u2013 Sarcasm Detection in Turkish Social Media: An Empirical Evaluation of Preprocessing Combinations<\/li>\n\n\n\n
  • CMT ID: 31 \u2013 Bahad\u0131r Arabac\u0131 \u2013 OSTIM Technical University \u2013 \u00dc\u00e7 Dalga Boylu PPG Sinyalinden \u00c7ok \u00d6l\u00e7ekli Durum-Uzay\u0131 A\u011f\u0131 Kullanarak \u0130nvaziv Olmayan Hemoglobin Tahmini<\/li>\n\n\n\n
  • CMT ID: 31 \u2013 Kemal Polat \u2013 Bolu Abant Izzet Baysal University \u2013 \u00dc\u00e7 Dalga Boylu PPG Sinyalinden \u00c7ok \u00d6l\u00e7ekli Durum-Uzay\u0131 A\u011f\u0131 Kullanarak \u0130nvaziv Olmayan Hemoglobin Tahmini<\/li>\n\n\n\n
  • CMT ID: 32 \u2013 Bahad\u0131r Arabac\u0131 \u2013 OSTIM Technical University \u2013 Dikkat Mekanizmas\u0131 ile CrossMamba Tabanl\u0131 BT\/MR \u00c7apraz Modal G\u00f6r\u00fcnt\u00fc Sentezi<\/li>\n\n\n\n
  • CMT ID: 32 \u2013 Kemal Polat \u2013 Bolu Abant Izzet Baysal University \u2013 Dikkat Mekanizmas\u0131 ile CrossMamba Tabanl\u0131 BT\/MR \u00c7apraz Modal G\u00f6r\u00fcnt\u00fc Sentezi<\/li>\n\n\n\n
  • CMT ID: 33 \u2013 Ya\u011f\u0131z Kerem Demir \u2013 \u0130stanbul Fuat Sezgin Bilim ve Sanat Merkezi (MEB) \u2013 Evri\u015fimli Sinir A\u011f\u0131 Mimarileri Kullan\u0131larak Merger ve Nonmerger Galaksilerin S\u0131n\u0131fland\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 33 \u2013 Sami Sezer Arba\u011f \u2013 \u0130stanbul Fuat Sezgin Bilim ve Sanat Merkezi (MEB) \u2013 Evri\u015fimli Sinir A\u011f\u0131 Mimarileri Kullan\u0131larak Merger ve Nonmerger Galaksilerin S\u0131n\u0131fland\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 34 \u2013 Cemil G\u00fcnd\u00fcz \u2013 Tokat Gaziosmanpa\u015fa University \u2013 Turizm \u0130\u015fletmecili\u011finde \u0130nsan Merkezli Yapay Zek\u00e2 Benimsenmesi: Stratejik Karar Verme, Etik Y\u00f6neti\u015fim ve S\u00fcrd\u00fcr\u00fclebilir De\u011fer Yarat\u0131m\u0131 i\u00e7in Kavramsal Bir \u00c7er\u00e7eve<\/li>\n\n\n\n
  • CMT ID: 34 \u2013 Onur Atak \u2013 Mu\u011fla S\u0131tk\u0131 Ko\u00e7man \u00dcniversitesi \u2013 Turizm \u0130\u015fletmecili\u011finde \u0130nsan Merkezli Yapay Zek\u00e2 Benimsenmesi: Stratejik Karar Verme, Etik Y\u00f6neti\u015fim ve S\u00fcrd\u00fcr\u00fclebilir De\u011fer Yarat\u0131m\u0131 i\u00e7in Kavramsal Bir \u00c7er\u00e7eve<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 Shayan Mashatian \u2013 Silverberry Group Inc. \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 Shu-Fen Wung \u2013 University of Arizona \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 G\u00f6zde \u00c7ay \u2013 \u0130zmir Katip \u00c7elebi University \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 James Alejandro Noboa \u2013 University of Arizona \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 Aaron Ritter \u2013 John L. McClellan Memorial Veterans Hospital \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 Courtney Bartlett \u2013 University of Arizona \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 Mina Hemmati \u2013 Medical University of the Americas \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 35 \u2013 David G. Armstrong \u2013 University of Southern California \u2013 Responsible Artificial Intelligent Health Agent: Adaptability and Scalability to Educate Ozempic Patients, Diabetic Limb Preservation and Post-Surgery Care<\/li>\n\n\n\n
  • CMT ID: 38 \u2013 Esra \u015eim\u015fek \u2013 Adres Gezgini A.\u015e. \u2013 Comparative Evaluation of CNN and Transformer Architectures for Jute Pest Classification Using Transfer Learning<\/li>\n\n\n\n
  • CMT ID: 38 \u2013 Ard\u0131l Silan Ayd\u0131n \u2013 Adres Gezgini A.\u015e. \u2013 Comparative Evaluation of CNN and Transformer Architectures for Jute Pest Classification Using Transfer Learning<\/li>\n\n\n\n
  • CMT ID: 38 \u2013 Asl\u0131 Yatk\u0131no\u011flu \u2013 Adres Gezgini A.\u015e. \u2013 Comparative Evaluation of CNN and Transformer Architectures for Jute Pest Classification Using Transfer Learning<\/li>\n\n\n\n
  • CMT ID: 38 \u2013 Mehmet Varan \u2013 Adres Gezgini A.\u015e. \u2013 Comparative Evaluation of CNN and Transformer Architectures for Jute Pest Classification Using Transfer Learning<\/li>\n\n\n\n
  • CMT ID: 38 \u2013 Bora Mocan \u2013 Adres Gezgini A.\u015e. \u2013 Comparative Evaluation of CNN and Transformer Architectures for Jute Pest Classification Using Transfer Learning<\/li>\n\n\n\n
  • CMT ID: 39 \u2013 Sema Nur Zorlu \u2013 Karab\u00fck \u00dcniversitesi \u2013 Large Language Model Supported Virtual Support Assistant for Hadrianopolis Ancient City<\/li>\n\n\n\n
  • CMT ID: 39 \u2013 Ersin \u00c7elikba\u015f \u2013 Karab\u00fck University \u2013 Large Language Model Supported Virtual Support Assistant for Hadrianopolis Ancient City<\/li>\n\n\n\n
  • CMT ID: 40 \u2013 \u0130nan\u00e7 Feridun \u00c7anc\u0131 \u2013 Milli E\u011fitim Bakanl\u0131\u011f\u0131- Measuring Logical Reasoning in Turkish Offline Language Models via Fallacy Detection<\/li>\n\n\n\n
  • CMT ID: 40 \u2013 Zeynep Gizem Emir Shahbazov \u2013 Milli E\u011fitim Bakanl\u0131\u011f\u0131- Measuring Logical Reasoning in Turkish Offline Language Models via Fallacy Detection<\/li>\n\n\n\n
  • CMT ID: 40 \u2013 Edibe Y\u0131lmaz \u2013 Milli E\u011fitim Bakanl\u0131\u011f\u0131- Measuring Logical Reasoning in Turkish Offline Language Models via Fallacy Detection<\/li>\n\n\n\n
  • CMT ID: 40 \u2013 Kahraman Kostas \u2013 Milli E\u011fitim Bakanl\u0131\u011f\u0131 \u2013 Measuring Logical Reasoning in Turkish Offline Language Models via Fallacy Detection<\/li>\n\n\n\n
  • CMT ID: 42 \u2013 Onur Uysal \u2013 \u0130zmir Katip \u00c7elebi \u00dcniversitesi \u2013 Cattle Behavior Classification in Precision Livestock Farming: A Structured Review<\/li>\n\n\n\n
  • CMT ID: 42 \u2013 Vedat T\u00fcmen \u2013 Bitlis Eren University \u2013 Cattle Behavior Classification in Precision Livestock Farming: A Structured Review<\/li>\n\n\n\n
  • CMT ID: 43 \u2013 Enes Gerem \u2013 Hacettepe University \u2013 A Multi-Source NLP Framework for Airline Passenger Sentiment and Satisfaction Analysis<\/li>\n\n\n\n
  • CMT ID: 43 \u2013 Ayd\u0131n Kaya \u2013 Hacettepe University \u2013 A Multi-Source NLP Framework for Airline Passenger Sentiment and Satisfaction Analysis<\/li>\n\n\n\n
  • CMT ID: 44 \u2013 Enes Mazlumo\u011flu \u2013 \u00c7\u00f6z\u00fcmevi Management Consulting and Computer Software Co. \u2013 A Blockchain-Based Digital Consensus Architecture Developed with Smart Contracts<\/li>\n\n\n\n
  • CMT ID: 44 \u2013 Berk Munci \u0130nanc \u2013 \u00c7\u00f6z\u00fcmevi Management Consulting and Computer Software Co. \u2013 A Blockchain-Based Digital Consensus Architecture Developed with Smart Contracts<\/li>\n\n\n\n
  • CMT ID: 44 \u2013 Kaz\u0131m Y\u0131ld\u0131z \u2013 Marmara University \u2013 A Blockchain-Based Digital Consensus Architecture Developed with Smart Contracts<\/li>\n\n\n\n
  • CMT ID: 44 \u2013 Aykut M\u00fcderriso\u011flu \u2013 \u00c7\u00f6z\u00fcmevi Management Consulting and Computer Software Co. \u2013 A Blockchain-Based Digital Consensus Architecture Developed with Smart Contracts<\/li>\n\n\n\n
  • CMT ID: 45 \u2013 Baki Efe Maden \u2013 Necla-Ergun Abal\u0131o\u011flu Ticaret Mesleki ve Teknik Anadolu Lisesi \u2013 n8n Tabanl\u0131 RAG Yakla\u015f\u0131m\u0131 ile B\u00fcy\u00fck Dil Modellerinin Do\u011fruluk, H\u0131z, Hata ve Maliyet Performanslar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 45 \u2013 Batuhan Kaan Baysan \u2013 Necla-Ergun Abal\u0131o\u011flu Ticaret Mesleki ve Teknik Anadolu Lisesi \u2013 n8n Tabanl\u0131 RAG Yakla\u015f\u0131m\u0131 ile B\u00fcy\u00fck Dil Modellerinin Do\u011fruluk, H\u0131z, Hata ve Maliyet Performanslar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 45 \u2013 Furkan \u00d6zt\u00fcrk \u2013 Necla-Ergun Abal\u0131o\u011flu Ticaret Mesleki ve Teknik Anadolu Lisesi \u2013 n8n Tabanl\u0131 RAG Yakla\u015f\u0131m\u0131 ile B\u00fcy\u00fck Dil Modellerinin Do\u011fruluk, H\u0131z, Hata ve Maliyet Performanslar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 45 \u2013 \u0130brahim Emir \u00d6ren \u2013 Necla-Ergun Abal\u0131o\u011flu Ticaret Mesleki ve Teknik Anadolu Lisesi \u2013 n8n Tabanl\u0131 RAG Yakla\u015f\u0131m\u0131 ile B\u00fcy\u00fck Dil Modellerinin Do\u011fruluk, H\u0131z, Hata ve Maliyet Performanslar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 45 \u2013 H\u00fcseyin Erdo\u011fan \u2013 Necla-Ergun Abal\u0131o\u011flu Ticaret Mesleki ve Teknik Anadolu Lisesi \u2013 n8n Tabanl\u0131 RAG Yakla\u015f\u0131m\u0131 ile B\u00fcy\u00fck Dil Modellerinin Do\u011fruluk, H\u0131z, Hata ve Maliyet Performanslar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 46 \u2013 Mervenur \u00c7etin \u2013 Bolu Abant \u0130zzet Baysal \u00dcniversitesi \u2013 Termoplastik Elastomer Geli\u015ftirmede Boyutlar\u0131n Laneti K\u00fc\u00e7\u00fck Veri Setleri i\u00e7in Fizik Tabanl\u0131 \u00d6znitelik M\u00fchendisli\u011fi Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 46 \u2013 Murat Beken \u2013 Bolu Abant Izzet Baysal University \u2013 Termoplastik Elastomer Geli\u015ftirmede Boyutlar\u0131n Laneti K\u00fc\u00e7\u00fck Veri Setleri i\u00e7in Fizik Tabanl\u0131 \u00d6znitelik M\u00fchendisli\u011fi Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 47 \u2013 Mehmet Akyol \u2013 BEKO- A Conceptual Framework for AI-Driven Demand Response Using Smart Home Appliances<\/li>\n\n\n\n
  • CMT ID: 48 \u2013 Merve Y\u0131ld\u0131z \u2013 Karadeniz Teknik \u00dcniversitesi \u2013 \u00dcniversite \u00d6\u011frencilerinin Yapay Zekaya Y\u00f6nelik Tutumlar\u0131n\u0131n \u00c7e\u015fitli De\u011fi\u015fkenler A\u00e7\u0131s\u0131ndan \u0130ncelenmesi<\/li>\n\n\n\n
  • CMT ID: 48 \u2013 Tolga \u00c7ak\u0131r \u2013 \u0130zmir Demokrasi \u00dcniversitesi \u2013 \u00dcniversite \u00d6\u011frencilerinin Yapay Zekaya Y\u00f6nelik Tutumlar\u0131n\u0131n \u00c7e\u015fitli De\u011fi\u015fkenler A\u00e7\u0131s\u0131ndan \u0130ncelenmesi<\/li>\n\n\n\n
  • CMT ID: 49 \u2013 \u015eeyma Navir Bilgi\u00e7 \u2013 Sel\u00e7uk \u00dcniversitesi \u2013 PAX SILICA ve Yeni Tekno-Politik: NEO-Gram\u015fiyan Bir Analiz<\/li>\n\n\n\n
  • CMT ID: 49 \u2013 Erdem \u00d6zl\u00fck \u2013 Selcuk Universitesi \u2013 PAX SILICA ve Yeni Tekno-Politik: NEO-Gram\u015fiyan Bir Analiz<\/li>\n\n\n\n
  • CMT ID: 50 \u2013 Mustafa Turhan \u2013 Bilecik \u015eeyh Edebali \u00dcniversitesi \u2013 Kapal\u0131 Alanlarda \u00c7evresel \u0130zleme i\u00e7in U\u00e7tan Uca IoT Tabanl\u0131 Veri Toplama ve Kay\u0131t Sistemi Tasar\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 50 \u2013 Hakan \u00dc\u00e7g\u00fcn \u2013 Bilecik Seyh Edebali University \u2013 Kapal\u0131 Alanlarda \u00c7evresel \u0130zleme i\u00e7in U\u00e7tan Uca IoT Tabanl\u0131 Veri Toplama ve Kay\u0131t Sistemi Tasar\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 52 \u2013 Kemal Polat \u2013 Bolu izzet Baysal University \u2013 Evaluating Machine Learning Models for Chemistry-Aware SOH Prediction<\/li>\n\n\n\n
  • CMT ID: 52 \u2013 Muhammed Duran Yazar \u2013 Bolu Abant \u0130zzet Baysak \u00dcniversitesi \u2013 Evaluating Machine Learning Models for Chemistry-Aware SOH Prediction<\/li>\n\n\n\n
  • CMT ID: 53 \u2013 Kemal Polat \u2013 Bolu Abant Izzet Baysal University \u2013 Probabilistic Failure Surface Modeling for Real-Time Safety Risk Mapping in Lithium-Based Battery Systems<\/li>\n\n\n\n
  • CMT ID: 53 \u2013 Muhammed Duran Yazar \u2013 Bolu Abant \u0130zzet Baysak \u00dcniversitesi \u2013 Probabilistic Failure Surface Modeling for Real-Time Safety Risk Mapping in Lithium-Based Battery Systems<\/li>\n\n\n\n
  • CMT ID: 54 \u2013 Saadet G\u00fcnd\u00fcz \u2013 Tokat Gaziosmanpa\u015fa University \u2013 Yapay Zek\u00e2n\u0131n Stratejik Karar Alma S\u00fcre\u00e7lerinde Ortak Akt\u00f6r Olarak Konumland\u0131r\u0131lmas\u0131: Kavramsal Bir \u00c7er\u00e7eve<\/li>\n\n\n\n
  • CMT ID: 55 \u2013 Ronald Lopes* \u2013 Mumbai University \u2013 Distributed Intelligence for Modular Robotic Systems Using Local Perception and Adaptive Control Behaviors<\/li>\n\n\n\n
  • CMT ID: 56 \u2013 Ronald Lopes* \u2013 Mumbai University \u2013 Thoth for AI Ops: Graph-Grounded Recommendations for Robust ML Dependency Stacks<\/li>\n\n\n\n
  • CMT ID: 57 \u2013 Kaan D\u00f6\u015fkaya \u2013 \u00c7anakkale Onsekiz Mart University \u2013 Uncertainty-Based Multi-View Stacking Approach for SMS Spam Detection<\/li>\n\n\n\n
  • CMT ID: 57 \u2013 \u015eeyma Y\u00fccel Altay \u2013 Atat\u00fcrk \u00dcniversitesi \u2013 Uncertainty-Based Multi-View Stacking Approach for SMS Spam Detection<\/li>\n\n\n\n
  • CMT ID: 59 \u2013 Zekeriya Kat\u0131lm\u0131\u015f \u2013 K\u00fctahya Sa\u011fl\u0131k Bilimleri \u00dcniversitesi \u2013 Makine \u00d6\u011frenimi Tabanl\u0131 Temass\u0131z Biyometrik El Hareketleri ile Cinsiyet Tahmini<\/li>\n\n\n\n
  • CMT ID: 60 \u2013 Hulya Sayg\u0131l\u0131 \u2013 Karayollar\u0131 8. B\u00f6lge M\u00fcd\u00fcrl\u00fc\u011f\u00fc \u2013 Metin S\u0131n\u0131fland\u0131rma Problemi i\u00e7in Karc\u0131FANN Optimizasyon Y\u00f6nteminin Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 60 \u2013 Meral Karakurt \u2013 Karayollar\u0131 8. B\u00f6lge M\u00fcd\u00fcrl\u00fc\u011f\u00fc \u2013 Metin S\u0131n\u0131fland\u0131rma Problemi i\u00e7in Karc\u0131FANN Optimizasyon Y\u00f6nteminin Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 61 \u2013 \u00dcmit Zeybek \u2013 Dokuz Eyl\u00fcl \u00dcniversitesi \u2013 Fonksiyonel Derecelendirilmi\u015f Malzemelerde Yapay Zeka ve Makine \u00d6\u011frenimi Uygulamalar\u0131<\/li>\n\n\n\n
  • CMT ID: 62 \u2013 Labaran Isiaku* \u2013 Near East University \u2013 Critical Factors Influencing AI-Driven Digital Transformation in Universities: A DEMATEL Analysis.<\/li>\n\n\n\n
  • CMT ID: 63 \u2013 Melahat Acar \u2013 Maltepe \u00dcniversitesi \u2013 POS-MAS: An Autonomous Multi-Agent and RAG-Driven Diagnostic Platform for Token POS Systems<\/li>\n\n\n\n
  • CMT ID: 63 \u2013 Emre Atl\u0131er Olca \u2013 Maltepe University \u2013 POS-MAS: An Autonomous Multi-Agent and RAG-Driven Diagnostic Platform for Token POS Systems<\/li>\n\n\n\n
  • CMT ID: 64 \u2013 Cemal Y\u00fcksel \u2013 Band\u0131rma Onyedi Eylul University \u2013 The Generative AI Decision Value Model (GAIDVM): A Framework for Augmented Decision Making in Organizations<\/li>\n\n\n\n
  • CMT ID: 65 \u2013 \u0130lknur Zeydan \u2013 Zonguldak B\u00fclent Ecevit \u00dcniversitesi \u2013 \u0130\u015fletmelerde Yapay Zek\u00e2 Uygulamalar\u0131nda Yeni Risk Alanlar\u0131: G\u00f6lge Yapay Zek\u00e2<\/li>\n\n\n\n
  • CMT ID: 65 \u2013 \u00d6zg\u00fcr Zeydan \u2013 Zonguldak B\u00fclent Ecevit University \u2013 \u0130\u015fletmelerde Yapay Zek\u00e2 Uygulamalar\u0131nda Yeni Risk Alanlar\u0131: G\u00f6lge Yapay Zek\u00e2<\/li>\n\n\n\n
  • CMT ID: 66 \u2013 Meltem Gemalmazo\u011flu \u2013 Ondokuz May\u0131s \u00dcniversitesi \u2013 G\u00f6\u011f\u00fcs R\u00f6ntgeni G\u00f6r\u00fcnt\u00fclerinden Otomatik Radyoloji Raporu \u00dcretimi i\u00e7in Hiyerar\u015fik \u00c7ift Decoder Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 67 \u2013 Nagihan \u0130lhan \u2013 kayseri \u00fcniversitesi \u2013 T\u00fcketici Tercihi Tahmininde EEG Fonksiyonel Ba\u011flant\u0131 Farkl\u0131l\u0131klar\u0131n\u0131n \u0130ncelenmesi<\/li>\n\n\n\n
  • CMT ID: 67 \u2013 Eda Dagdevir \u2013 kayseri \u00fcniversitesi \u2013 T\u00fcketici Tercihi Tahmininde EEG Fonksiyonel Ba\u011flant\u0131 Farkl\u0131l\u0131klar\u0131n\u0131n \u0130ncelenmesi<\/li>\n\n\n\n
  • CMT ID: 68 \u2013 Wilfred Borjal \u2013 Western Mindanao State University \u2013 Smart Precision: Smart Goldfish Keeping System for Water Quality and Health Monitoring<\/li>\n\n\n\n
  • CMT ID: 68 \u2013 Jerric Araneta \u2013 Western Mindanao State University \u2013 Smart Precision: Smart Goldfish Keeping System for Water Quality and Health Monitoring<\/li>\n\n\n\n
  • CMT ID: 68 \u2013 Rashid Ahmad Abdul \u2013 Western Mindanao State University \u2013 Smart Precision: Smart Goldfish Keeping System for Water Quality and Health Monitoring<\/li>\n\n\n\n
  • CMT ID: 68 \u2013 Jaydee Ballaho \u2013 Western Mindanao State University \u2013 Smart Precision: Smart Goldfish Keeping System for Water Quality and Health Monitoring<\/li>\n\n\n\n
  • CMT ID: 69 \u2013 Tohid Yousefi \u2013 Cappadocia University \u2013 Adaptive Grasshopper Optimization Algorithm for Mobile Robot Path Planning<\/li>\n\n\n\n
  • CMT ID: 69 \u2013 \u00d6zlem Varl\u0131klar \u2013 Dokuz Eylul University \u2013 Adaptive Grasshopper Optimization Algorithm for Mobile Robot Path Planning<\/li>\n\n\n\n
  • CMT ID: 69 \u2013 Mehmet Serhat Odaba\u015f \u2013 Ondokuz Mayis University \u2013 Adaptive Grasshopper Optimization Algorithm for Mobile Robot Path Planning<\/li>\n\n\n\n
  • CMT ID: 70 \u2013 Ozge Bahar \u2013 Eski\u015fehir Osmangazi \u00dcniversitesi \u2013 Elektrikli Otob\u00fcslerde Kalan Menzil Tahmini i\u00e7in Makine \u00d6\u011frenmesi Tabanl\u0131 Bir Model<\/li>\n\n\n\n
  • CMT ID: 71 \u2013 Ferhat Karage\u00e7ili \u2013 Nev\u015fehir Hac\u0131 Bekta\u015f Veli \u00dcniversitesi \u2013 An Investigation of the Effects of Transfer Learning and Fine-Tuning on Stroke Classification Using Brain CT Images<\/li>\n\n\n\n
  • CMT ID: 71 \u2013 Emre Bende\u015f \u2013 Nev\u015fehir Hac\u0131 Bekta\u015f Veli University \u2013 An Investigation of the Effects of Transfer Learning and Fine-Tuning on Stroke Classification Using Brain CT Images<\/li>\n\n\n\n
  • CMT ID: 72 \u2013 Shweta Wadhwa* \u2013 Vivekanand Education Society\u2019s Institute Of Technology- EasyAssist: Automated Answer Assessment Using Question-Guided and Model-Based Evaluation with LLM<\/li>\n\n\n\n
  • CMT ID: 72 \u2013 Naileea Thadani* \u2013 Vivekanand Education Society\u2019s Institute Of Technology- EasyAssist: Automated Answer Assessment Using Question-Guided and Model-Based Evaluation with LLM<\/li>\n\n\n\n
  • CMT ID: 72 \u2013 Kaushal Galav* \u2013 Vivekanand Education Society\u2019s Institute Of Technology- EasyAssist: Automated Answer Assessment Using Question-Guided and Model-Based Evaluation with LLM<\/li>\n\n\n\n
  • CMT ID: 72 \u2013 Bhavisha Khotwani* \u2013 Vivekanand Education Society\u2019s Institute Of Technology- EasyAssist: Automated Answer Assessment Using Question-Guided and Model-Based Evaluation with LLM<\/li>\n\n\n\n
  • CMT ID: 72 \u2013 Anushree Prabhu* \u2013 Vivekanand Education Society\u2019s Institute Of Technology- EasyAssist: Automated Answer Assessment Using Question-Guided and Model-Based Evaluation with LLM<\/li>\n\n\n\n
  • CMT ID: 73 \u2013 Ekrem Ayd\u0131n* \u2013 Nevsehir Haci Bektas Veli University \u2013 Mikroplastik Veri Seti Olu\u015fturma ve YOLO ile Mikroplastik Tespiti<\/li>\n\n\n\n
  • CMT ID: 73 \u2013 Hamdi M\u0131hc\u0131okur* \u2013 Erciyes University \u2013 Mikroplastik Veri Seti Olu\u015fturma ve YOLO ile Mikroplastik Tespiti<\/li>\n\n\n\n
  • CMT ID: 74 \u2013 Deniz K\u0131l\u0131\u00e7 \u2013 Orta Do\u011fu Teknik \u00dcniversitesi \u2013 Multi-Domain Feature Enrichment for Financial Time-Series Forecasting: Integrating Wavelets, Stochastic Models, and Chaos Metrics<\/li>\n\n\n\n
  • CMT ID: 75 \u2013 Ya\u015far Ald\u0131rmaz \u2013 \u0130zmir Katip Celebi University \u2013 T\u00fcrk D\u0131\u015f Politikas\u0131 Ar\u015fiv Belgelerinde Adland\u0131r\u0131lm\u0131\u015f Varl\u0131k Tan\u0131ma (NER) ile Diplomatik Akt\u00f6r A\u011flar\u0131n\u0131n Haritalanmas\u0131: Erken So\u011fuk Sava\u015f D\u00f6nemi (1945-1960)<\/li>\n\n\n\n
  • CMT ID: 76 \u2013 Karthik Chettipalli* \u2013 Chaitanya Bharati institute of Technology \u2013 A Data-Driven Framework for Career Recommendation and Skill Optimization Using Job Market Analytics<\/li>\n\n\n\n
  • CMT ID: 76 \u2013 GopiCharan Kalluri* \u2013 Chaitanya Bharati institute of Technology \u2013 A Data-Driven Framework for Career Recommendation and Skill Optimization Using Job Market Analytics<\/li>\n\n\n\n
  • CMT ID: 76 \u2013 RamaDasu B.* \u2013 Chaitanya Bharati institute of Technology \u2013 A Data-Driven Framework for Career Recommendation and Skill Optimization Using Job Market Analytics<\/li>\n\n\n\n
  • CMT ID: 77 \u2013 Metin Bilgin \u2013 Bursa Uluda\u011f \u00dcniversitesi \u2013 Hibrit Mimariler ve Farkl\u0131 Metin \u00dcretim Stratejileri ile T\u00fcrk\u00e7e G\u00f6r\u00fcnt\u00fc Altyaz\u0131lama<\/li>\n\n\n\n
  • CMT ID: 77 \u2013 Berre Ye\u015filyurt \u2013 Bursa Uluda\u011f \u00dcniversitesi \u2013 Hibrit Mimariler ve Farkl\u0131 Metin \u00dcretim Stratejileri ile T\u00fcrk\u00e7e G\u00f6r\u00fcnt\u00fc Altyaz\u0131lama<\/li>\n\n\n\n
  • CMT ID: 79 \u2013 Simay Toparlak \u2013 Middle East Technical University \u2013 New Robust Metrics for the Coefficient Stability Index in OptiLIME Explanations<\/li>\n\n\n\n
  • CMT ID: 79 \u2013 Vilda Purut\u00e7uo\u011flu \u2013 Middle East Technical University \u2013 New Robust Metrics for the Coefficient Stability Index in OptiLIME Explanations<\/li>\n\n\n\n
  • CMT ID: 79 \u2013 Abdullah Nuri Somuncuo\u011flu \u2013 Turkish Aerospace Industries Inc. \u2013 New Robust Metrics for the Coefficient Stability Index in OptiLIME Explanations<\/li>\n\n\n\n
  • CMT ID: 80 \u2013 Zehra Keskin \u2013 Y\u0131ld\u0131z Teknik \u00dcniversitesi \u2013 Ara\u00e7 Kredisi Tahsisinde CatBoost ve Kar\u015f\u0131t Durum Analizi Tabanl\u0131 B\u00fct\u00fcnle\u015fik Bir Preskriptif Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 80 \u2013 Vildan \u00d6zk\u0131r \u2013 Yildiz Technical University \u2013 Ara\u00e7 Kredisi Tahsisinde CatBoost ve Kar\u015f\u0131t Durum Analizi Tabanl\u0131 B\u00fct\u00fcnle\u015fik Bir Preskriptif Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 81 \u2013 Pratham Bhavsar* \u2013 Kj Somaiya Institute of Technology \u2013 Intelligent Threat Detection and Defense Platform<\/li>\n\n\n\n
  • CMT ID: 81 \u2013 Swar Chaudhary* \u2013 Kj Somaiya Institute of Technology \u2013 Intelligent Threat Detection and Defense Platform<\/li>\n\n\n\n
  • CMT ID: 81 \u2013 Riya Birnale* \u2013 Kj Somaiya Institute of Technology \u2013 Intelligent Threat Detection and Defense Platform<\/li>\n\n\n\n
  • CMT ID: 81 \u2013 Sarika Mane* \u2013 Kj Somaiya Institute of Technology \u2013 Intelligent Threat Detection and Defense Platform<\/li>\n\n\n\n
  • CMT ID: 83 \u2013 Mert Kents\u00fc \u2013 Bursa Uluda\u011f \u00dcniversitesi \u2013 Fine-Tuning Transformer-Based and LLM for Aspect-Based Sentiment Analysis in Domain-Specific Turkish Texts<\/li>\n\n\n\n
  • CMT ID: 83 \u2013 Metin Bilgin \u2013 Bursa Uluda\u011f \u00dcniversitesi \u2013 Fine-Tuning Transformer-Based and LLM for Aspect-Based Sentiment Analysis in Domain-Specific Turkish Texts<\/li>\n\n\n\n
  • CMT ID: 84 \u2013 Ceren Kaya- Zonguldak Bulent Ecevit University \u2013 Classification of Parkinson\u2019s Disease Based on Voice Signal Features Using Person-Specific Machine Learning: Comparison of Full Feature and Biomedical Compact Feature Sets<\/li>\n\n\n\n
  • CMT ID: 84 \u2013 Yeliz Alper \u2013 Zonguldak Bulent Ecevit University \u2013 Classification of Parkinson\u2019s Disease Based on Voice Signal Features Using Person-Specific Machine Learning: Comparison of Full Feature and Biomedical Compact Feature Sets<\/li>\n\n\n\n
  • CMT ID: 85 \u2013 Mandana Fasounaki \u2013 Donanim Haber \u2013 Benchmarking Turkish Embedding Models: Clustering Quality, Retrieval Precision, and RAG Suitability<\/li>\n\n\n\n
  • CMT ID: 85 \u2013 Ersin Demirel \u2013 Donanim Haber \u2013 Benchmarking Turkish Embedding Models: Clustering Quality, Retrieval Precision, and RAG Suitability<\/li>\n\n\n\n
  • CMT ID: 85 \u2013 Burak G\u00f6z\u00fctok \u2013 Donanim Haber \u2013 Benchmarking Turkish Embedding Models: Clustering Quality, Retrieval Precision, and RAG Suitability<\/li>\n\n\n\n
  • CMT ID: 86 \u2013 Zahide D\u00fc\u015fg\u00fcn \u2013 Erciyes University \u2013 Kara Kutu \u00c7eki\u015fmeli Sald\u0131r\u0131lar\u0131n Medikal G\u00f6r\u00fcnt\u00fc S\u0131n\u0131fland\u0131rma Performans\u0131na Etkisi<\/li>\n\n\n\n
  • CMT ID: 86 \u2013 Ahmet Nusret Toprak \u2013 Erciyes University \u2013 Kara Kutu \u00c7eki\u015fmeli Sald\u0131r\u0131lar\u0131n Medikal G\u00f6r\u00fcnt\u00fc S\u0131n\u0131fland\u0131rma Performans\u0131na Etkisi<\/li>\n\n\n\n
  • CMT ID: 87 \u2013 Muhammet Mustafa Sava\u015fc\u0131 \u2013 Siemens A.\u015e. \u2013 Generative AI on the Manufacturing Shop Floor: A Review of Industrial GenAI Challenges and Opportunities<\/li>\n\n\n\n
  • CMT ID: 87 \u2013 Hanife \u00dcnal Helvac\u0131o\u011flu \u2013 Siemens A.\u015e. \u2013 Generative AI on the Manufacturing Shop Floor: A Review of Industrial GenAI Challenges and Opportunities<\/li>\n\n\n\n
  • CMT ID: 87 \u2013 Mehmet \u015eamil Soyer \u2013 Siemens A.\u015e. \u2013 Generative AI on the Manufacturing Shop Floor: A Review of Industrial GenAI Challenges and Opportunities<\/li>\n\n\n\n
  • CMT ID: 87 \u2013 U\u011fur Eni\u015f \u2013 Siemens A.\u015e. \u2013 Generative AI on the Manufacturing Shop Floor: A Review of Industrial GenAI Challenges and Opportunities<\/li>\n\n\n\n
  • CMT ID: 88 \u2013 Ramazan E\u015fmeli \u2013 Van Yuzuncu Yil University \u2013 A Hybrid Agentic-Reasoning Framework for Purchase Intention Analysis in E-Commerce<\/li>\n\n\n\n
  • CMT ID: 90 \u2013 Sel\u00e7uk Tekg\u00f6z \u2013 Ni\u011fde \u0130l Sa\u011fl\u0131k M\u00fcd\u00fcrl\u00fc\u011f\u00fc \u2013 Uzaktan Alg\u0131lama Tabanl\u0131 Yanm\u0131\u015f Alan Haritalamas\u0131: Sentinel-2 Bant Kombinasyonlar\u0131na Dayal\u0131 Yeni Spektral \u0130ndekslerin Geli\u015ftirilmesi<\/li>\n\n\n\n
  • CMT ID: 90 \u2013 Dervi\u015f Topuz \u2013 Ni\u011fde \u00d6mer Halisdemir \u00dcniversitesi \u2013 Uzaktan Alg\u0131lama Tabanl\u0131 Yanm\u0131\u015f Alan Haritalamas\u0131: Sentinel-2 Bant Kombinasyonlar\u0131na Dayal\u0131 Yeni Spektral \u0130ndekslerin Geli\u015ftirilmesi<\/li>\n\n\n\n
  • CMT ID: 91 \u2013 Ahmet Turan Karaku\u015f \u2013 Sivas Cumhuriyet \u00dcniversitesi \u2013 Uzun T\u00fcrk\u00e7e Haber Metinlerinin S\u0131n\u0131fland\u0131r\u0131lmas\u0131nda Geleneksel ve Derin \u00d6\u011frenme Y\u00f6ntemlerinin Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 91 \u2013 F\u0131rat \u0130smailo\u011flu \u2013 Sivas Cumhuriyet \u00dcniversitesi \u2013 Uzun T\u00fcrk\u00e7e Haber Metinlerinin S\u0131n\u0131fland\u0131r\u0131lmas\u0131nda Geleneksel ve Derin \u00d6\u011frenme Y\u00f6ntemlerinin Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 92 \u2013 Alp Revanbah\u015f \u2013 T\u00fcrkiye Finans Kat\u0131l\u0131m Bankas\u0131 \u2013 Real-Time Error-Density Anomaly Detection over High-Volume Banking Logs on the ELK Stack<\/li>\n\n\n\n
  • CMT ID: 92 \u2013 Behiye Alak \u2013 T\u00fcrkiye Finans Kat\u0131l\u0131m Bankas\u0131 \u2013 Real-Time Error-Density Anomaly Detection over High-Volume Banking Logs on the ELK Stack<\/li>\n\n\n\n
  • CMT ID: 92 \u2013 Ay\u015feg\u00fcl \u015eenol \u00c7al\u0131m \u2013 T\u00fcrkiye Finans Kat\u0131l\u0131m Bankas\u0131 \u2013 Real-Time Error-Density Anomaly Detection over High-Volume Banking Logs on the ELK Stack<\/li>\n\n\n\n
  • CMT ID: 94 \u2013 Murat Kand\u0131r \u2013 Kocaeli University \u2013 Marka G\u00f6rselleri i\u00e7in Derin \u00d6znitelik \u00c7\u0131kar\u0131m\u0131 ve \u00c7oklu Benzerlik Metri\u011fi ile \u0130\u00e7erik Tabanl\u0131 G\u00f6r\u00fcnt\u00fc Eri\u015fimi<\/li>\n\n\n\n
  • CMT ID: 94 \u2013 \u015eahin I\u015f\u0131k \u2013 Kocaeli University \u2013 Marka G\u00f6rselleri i\u00e7in Derin \u00d6znitelik \u00c7\u0131kar\u0131m\u0131 ve \u00c7oklu Benzerlik Metri\u011fi ile \u0130\u00e7erik Tabanl\u0131 G\u00f6r\u00fcnt\u00fc Eri\u015fimi<\/li>\n\n\n\n
  • CMT ID: 95 \u2013 \u015eiyar Demir \u2013 Afyon Kocatepe \u00dcniversitesi \u2013 Lisans E\u011fitiminin \u00dc\u00e7 Y\u0131la \u0130ndirilmesine \u0130li\u015fkin X Platformu Tepkilerinin Duygu ve Tematik Analizi<\/li>\n\n\n\n
  • CMT ID: 95 \u2013 Emre Baysan \u2013 Afyon Kocatepe \u00dcniversitesi \u2013 Lisans E\u011fitiminin \u00dc\u00e7 Y\u0131la \u0130ndirilmesine \u0130li\u015fkin X Platformu Tepkilerinin Duygu ve Tematik Analizi<\/li>\n\n\n\n
  • CMT ID: 97 \u2013 Cem Al\u0131c\u0131 \u2013 Ege University \u2013 Metinden SQL\u2019e D\u00f6n\u00fc\u015f\u00fcmde A\u00e7\u0131k A\u011f\u0131rl\u0131kl\u0131 Modellerin Ba\u015far\u0131m ve Hata Taksonomisi Analizi: BIRD Veri K\u00fcmesi \u00dczerine Bir \u0130nceleme<\/li>\n\n\n\n
  • CMT ID: 97 \u2013 Murat Osman \u00dcnal\u0131r \u2013 Ege University \u2013 Metinden SQL\u2019e D\u00f6n\u00fc\u015f\u00fcmde A\u00e7\u0131k A\u011f\u0131rl\u0131kl\u0131 Modellerin Ba\u015far\u0131m ve Hata Taksonomisi Analizi: BIRD Veri K\u00fcmesi \u00dczerine Bir \u0130nceleme<\/li>\n\n\n\n
  • CMT ID: 98 \u2013 Alper Erdo\u011fan \u2013 Galatasaray \u00dcniversitesi \u2013 Hybrid Batch and Streaming Data Architecture for Air Quality Monitoring in Smart Cities: A Case Study on Istanbul Using Azure Lakehouse<\/li>\n\n\n\n
  • CMT ID: 98 \u2013 Mustafa Burak Erdem \u2013 Galatasaray University \u2013 Hybrid Batch and Streaming Data Architecture for Air Quality Monitoring in Smart Cities: A Case Study on Istanbul Using Azure Lakehouse<\/li>\n\n\n\n
  • CMT ID: 98 \u2013 Haktan Polat \u2013 Galatasaray \u00dcniversitesi \u2013 Hybrid Batch and Streaming Data Architecture for Air Quality Monitoring in Smart Cities: A Case Study on Istanbul Using Azure Lakehouse<\/li>\n\n\n\n
  • CMT ID: 98 \u2013 Elif \u015eahin \u2013 University of Technology of Compi\u00e8gne \u2013 Hybrid Batch and Streaming Data Architecture for Air Quality Monitoring in Smart Cities: A Case Study on Istanbul Using Azure Lakehouse<\/li>\n\n\n\n
  • CMT ID: 98 \u2013 Sultan Nezihe Turhan \u2013 GALATASARAY UNIVERS\u0130TES\u0130 \u2013 Hybrid Batch and Streaming Data Architecture for Air Quality Monitoring in Smart Cities: A Case Study on Istanbul Using Azure Lakehouse<\/li>\n\n\n\n
  • CMT ID: 99 \u2013 Sefa Ata \u2013 Hacettepe \u00dcniversitesi \u2013 Algorithmic Surveillance and the Erosion of the Threshold of Suspicion in Criminal Procedure<\/li>\n\n\n\n
  • CMT ID: 99 \u2013 Eyl\u00fcl Erdem Hac\u0131\u00f6mero\u011flu \u2013 Hacettepe University \u2013 Algorithmic Surveillance and the Erosion of the Threshold of Suspicion in Criminal Procedure<\/li>\n\n\n\n
  • CMT ID: 100 \u2013 Murat Ar\u0131can \u2013 Bolu Abant \u0130zzet Baysal \u00dcniversitesi \u2013 SpecSkip-UNet: 3D Spectral Gating via FFT for Enhanced MS Lesion Segmentation<\/li>\n\n\n\n
  • CMT ID: 100 \u2013 Kemal Polat \u2013 Bolu Abant Izzet Baysal University \u2013 SpecSkip-UNet: 3D Spectral Gating via FFT for Enhanced MS Lesion Segmentation<\/li>\n\n\n\n
  • CMT ID: 102 \u2013 Abdullah Eid \u2013 Fatih Sultan Mehmet Vak\u0131f \u00dcniversitesi \u2013 An Explainable Approach to OCT-Based Retinal Disease Classification Using ResNet50V2 and Grad-CAM<\/li>\n\n\n\n
  • CMT ID: 102 \u2013 Kadir Aram \u2013 Fatih Sultan Mehmet Vak\u0131f \u00dcniversitesi \u2013 An Explainable Approach to OCT-Based Retinal Disease Classification Using ResNet50V2 and Grad-CAM<\/li>\n\n\n\n
  • CMT ID: 102 \u2013 Samet Kaya \u2013 Fatih Sultan Mehmet Vak\u0131f \u00dcniversitesi \u2013 An Explainable Approach to OCT-Based Retinal Disease Classification Using ResNet50V2 and Grad-CAM<\/li>\n\n\n\n
  • CMT ID: 106 \u2013 Yi\u011fit Kuyucu \u2013 Nev\u015fehir Hac\u0131 Bekta\u015f Veli University \u2013 Where Does Fine-Tuning Leave Its Mark? A Multi-Level Mechanistic Analysis of LoRA in the Code-Documentation Domain<\/li>\n\n\n\n
  • CMT ID: 106 \u2013 Emre Bende\u015f \u2013 Nev\u015fehir Hac\u0131 Bekta\u015f Veli University \u2013 Where Does Fine-Tuning Leave Its Mark? A Multi-Level Mechanistic Analysis of LoRA in the Code-Documentation Domain<\/li>\n\n\n\n
  • CMT ID: 107 \u2013 Muhammed Karaca \u2013 Maltepe \u00dcniversitesi \u2013 Uyarlanabilir Perakende Stok Y\u00f6netimi<\/li>\n\n\n\n
  • CMT ID: 107 \u2013 Muharrem Canbulat \u2013 Maltepe \u00dcniversitesi \u2013 Uyarlanabilir Perakende Stok Y\u00f6netimi<\/li>\n\n\n\n
  • CMT ID: 107 \u2013 Emre Atl\u0131er Olca \u2013 Maltepe \u00dcniversitesi \u2013 Uyarlanabilir Perakende Stok Y\u00f6netimi<\/li>\n\n\n\n
  • CMT ID: 108 \u2013 Ahmet Karado\u011fan \u2013 Nev\u015fehir Hac\u0131 Bekta\u015f Veli \u00dcniversitesi \u2013 Mimetik D\u00f6ng\u00fcn\u00fcn Sonu: Yapay Zek\u00e2 Metinlerinde \u00dcslup Standartla\u015fmas\u0131 ve Estetik A\u015f\u0131nma<\/li>\n\n\n\n
  • CMT ID: 110 \u2013 Lovish Miglani* \u2013 Chandigarh University \u2013 AI-Based Crop Recommendation System<\/li>\n\n\n\n
  • CMT ID: 110 \u2013 Deepanshu Bansal* \u2013 Chandigarh University \u2013 AI-Based Crop Recommendation System<\/li>\n\n\n\n
  • CMT ID: 110 \u2013 Abhijeet Gupta* \u2013 Chandigarh University \u2013 AI-Based Crop Recommendation System<\/li>\n\n\n\n
  • CMT ID: 110 \u2013 Shivani Sharma* \u2013 Chandigarh University \u2013 AI-Based Crop Recommendation System<\/li>\n\n\n\n
  • CMT ID: 111 \u2013 Deepesh Deepesh* \u2013 Alliance University \u2013 Intelligent Cyber Threat Intelligence: AI Architectures and Data Challenges for Future Threat Prediction<\/li>\n\n\n\n
  • CMT ID: 111 \u2013 Vullikanti Vivek* \u2013 Alliance University \u2013 Intelligent Cyber Threat Intelligence: AI Architectures and Data Challenges for Future Threat Prediction<\/li>\n\n\n\n
  • CMT ID: 112 \u2013 Hazal Akbal \u2013 Ni\u011fde \u00d6mer Halisdemir \u00dcniversitesi \u2013 Sa\u011fl\u0131k Hizmetlerinde Yapay Zeka Okuryazarl\u0131\u011f\u0131: AHP Tabanl\u0131 Bir Analiz<\/li>\n\n\n\n
  • CMT ID: 113 \u2013 Ege \u00d6zbay \u2013 Y\u0131ld\u0131z Teknik \u00dcniversitesi \u2013 Parkinson Hastal\u0131\u011f\u0131n\u0131n Ses Verileri \u00dczerinden Te\u015fhisi: Bozucu Etken Kontrol\u00fc ve Veri S\u0131z\u0131nt\u0131s\u0131ndan Ar\u0131nd\u0131r\u0131lm\u0131\u015f Bir De\u011ferlendirme Protokol\u00fc<\/li>\n\n\n\n
  • CMT ID: 113 \u2013 Sibel \u00c7imen \u2013 Y\u0131ld\u0131z Teknik \u00dcniversitesi \u2013 Parkinson Hastal\u0131\u011f\u0131n\u0131n Ses Verileri \u00dczerinden Te\u015fhisi: Bozucu Etken Kontrol\u00fc ve Veri S\u0131z\u0131nt\u0131s\u0131ndan Ar\u0131nd\u0131r\u0131lm\u0131\u015f Bir De\u011ferlendirme Protokol\u00fc<\/li>\n\n\n\n
  • CMT ID: 113 \u2013 B\u00fclent Bolat \u2013 Y\u0131ld\u0131z Teknik \u00dcniversitesi \u2013 Parkinson Hastal\u0131\u011f\u0131n\u0131n Ses Verileri \u00dczerinden Te\u015fhisi: Bozucu Etken Kontrol\u00fc ve Veri S\u0131z\u0131nt\u0131s\u0131ndan Ar\u0131nd\u0131r\u0131lm\u0131\u015f Bir De\u011ferlendirme Protokol\u00fc<\/li>\n\n\n\n
  • CMT ID: 115 \u2013 Ruveyda Ciler \u2013 Istanbul Nisantasi University \u2013 Forecasting GHG Emissions in OECD States: A Machine Learning Sustainability Benchmark<\/li>\n\n\n\n
  • CMT ID: 115 \u2013 Murat Eme\u00e7 \u2013 \u0130stanbul Ni\u015fanta\u015f\u0131 \u00dcniversitesi \u2013 Forecasting GHG Emissions in OECD States: A Machine Learning Sustainability Benchmark<\/li>\n\n\n\n
  • CMT ID: 116 \u2013 Senem \u00d6zdemir \u2013 Istanbul Nisantasi University \u2013 A Machine Learning Framework for Sustainable Aviation and Emission Reduction<\/li>\n\n\n\n
  • CMT ID: 116 \u2013 Muzaffer Ert\u00fcrk \u2013 Istanbul Nisantasi University \u2013 A Machine Learning Framework for Sustainable Aviation and Emission Reduction<\/li>\n\n\n\n
  • CMT ID: 116 \u2013 Murat Eme\u00e7 \u2013 \u0130stanbul Ni\u015fanta\u015f\u0131 \u00dcniversitesi \u2013 A Machine Learning Framework for Sustainable Aviation and Emission Reduction<\/li>\n\n\n\n
  • CMT ID: 117 \u2013 Fadime Sevim Kabakoz Cukur \u2013 \u2026 \u2013 Luciano Floridi: Enformasyon Felsefesi ve Yapay Zek\u00e2 Eti\u011fi<\/li>\n\n\n\n
  • CMT ID: 118 \u2013 Murat Eme\u00e7 \u2013 \u0130stanbul Ni\u015fanta\u015f\u0131 \u00dcniversitesi \u2013 A Machine Learning Approach to Global Airport Scheduled Service Classification<\/li>\n\n\n\n
  • CMT ID: 119 \u2013 Derya Narin \u2013 Zonguldak Bulent Ecevit University \u2013 Deep Learning-Based Automatic Detection of Scoliosis and Spondylolisthesis from Spine X-Ray Images<\/li>\n\n\n\n
  • CMT ID: 119 \u2013 Tu\u011fba \u00d6zge Onur \u2013 Zonguldak B\u00fclent Ecevit \u00dcniversitesi \u2013 Deep Learning-Based Automatic Detection of Scoliosis and Spondylolisthesis from Spine X-Ray Images<\/li>\n\n\n\n
  • CMT ID: 120 \u2013 Hamid Ye\u015filyayla \u2013 Pamukkale University \u2013 Telepazarlama Kampanyalar\u0131nda D\u00f6n\u00fc\u015f\u00fcm Tahmini: Bilgi S\u0131z\u0131nt\u0131s\u0131 Etkisinin Makine \u00d6\u011frenmesi Modelleri \u00dczerinde Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 121 \u2013 Harshit Mehra* \u2013 Chandigarh University \u2013 Intelligent Cyber Security Systems Using Machine Learning<\/li>\n\n\n\n
  • CMT ID: 121 \u2013 Krishna Kumar Choudhary* \u2013 Chandigarh University \u2013 Intelligent Cyber Security Systems Using Machine Learning<\/li>\n\n\n\n
  • CMT ID: 121 \u2013 Priyanka Behki* \u2013 Chandigarh University \u2013 Intelligent Cyber Security Systems Using Machine Learning<\/li>\n\n\n\n
  • CMT ID: 121 \u2013 Tamanna Jha* \u2013 Chandigarh University \u2013 Intelligent Cyber Security Systems Using Machine Learning<\/li>\n\n\n\n
  • CMT ID: 121 \u2013 Vankayala Pallavi* \u2013 Chandigarh University \u2013 Intelligent Cyber Security Systems Using Machine Learning<\/li>\n\n\n\n
  • CMT ID: 121 \u2013 Hiranya Sudha* \u2013 Chandigarh University \u2013 Intelligent Cyber Security Systems Using Machine Learning<\/li>\n\n\n\n
  • CMT ID: 124 \u2013 K\u00fcbra Sad\u0131ksoy Tun\u00e7ay \u2013 Van Y\u00fcz\u00fcnc\u00fc Y\u0131l \u00dcniversitesi \u2013 Blokzincir, Yapay Zek\u00e2 ve IoT Entegrasyonu ile G\u0131da Tedarik Zincirlerinde \u0130zlenebilirlik ve G\u00fcvenli\u011fin D\u00f6n\u00fc\u015f\u00fcm\u00fc<\/li>\n\n\n\n
  • CMT ID: 124 \u2013 Ayhan Ba\u015ft\u00fcrk \u2013 Van Y\u00fcz\u00fcnc\u00fc Y\u0131l \u00dcniversitesi \u2013 Blokzincir, Yapay Zek\u00e2 ve IoT Entegrasyonu ile G\u0131da Tedarik Zincirlerinde \u0130zlenebilirlik ve G\u00fcvenli\u011fin D\u00f6n\u00fc\u015f\u00fcm\u00fc<\/li>\n\n\n\n
  • CMT ID: 125 \u2013 G\u00fclden D\u00fczg\u00fcnl\u00fc \u2013 Tokat Gaziosmanpa\u015fa \u00dcniversitesi \u2013 Yapay Zeka Ba\u011flam\u0131nda Ki\u015fisel Verilerin Korunmas\u0131: G\u00fcncel Geli\u015fmeler, Uluslararas\u0131 \u00d6rnekler ve T\u00fcrkiye Perspektifinden Kavramsal Bir De\u011ferlendirme<\/li>\n\n\n\n
  • CMT ID: 128 \u2013 Bilal Demir \u2013 Bal\u0131kesir University \u2013 Data Obfuscation Using the Modular Group and Continued Fractions<\/li>\n\n\n\n
  • CMT ID: 128 \u2013 \u00d6zden Koruo\u011flu \u2013 Balikesir University \u2013 Data Obfuscation Using the Modular Group and Continued Fractions<\/li>\n\n\n\n
  • CMT ID: 129 \u2013 Ertu\u011frul Orman \u2013 Norm Fasteners \u2013 Junker Titre\u015fim Test Verileri ile C\u0131vatal\u0131 Ba\u011flant\u0131larda Gev\u015feme Davran\u0131\u015f\u0131n\u0131n Fiziksel K\u0131s\u0131tl\u0131 Yapay Sinir A\u011f\u0131 ile Tahmini<\/li>\n\n\n\n
  • CMT ID: 129 \u2013 \u00c7a\u011flar Uyulan \u2013 \u0130zmir Katip \u00c7elebi \u00dcniversitesi \u2013 Junker Titre\u015fim Test Verileri ile C\u0131vatal\u0131 Ba\u011flant\u0131larda Gev\u015feme Davran\u0131\u015f\u0131n\u0131n Fiziksel K\u0131s\u0131tl\u0131 Yapay Sinir A\u011f\u0131 ile Tahmini<\/li>\n\n\n\n
  • CMT ID: 129 \u2013 Can \u0130\u00e7mez \u2013 Norm Fasteners \u2013 Junker Titre\u015fim Test Verileri ile C\u0131vatal\u0131 Ba\u011flant\u0131larda Gev\u015feme Davran\u0131\u015f\u0131n\u0131n Fiziksel K\u0131s\u0131tl\u0131 Yapay Sinir A\u011f\u0131 ile Tahmini<\/li>\n\n\n\n
  • CMT ID: 130 \u2013 Alihan Karatatar \u2013 Hacettepe University \u2013 CMSRNet: A Cloud-Aware Multi-Scale SAR-Guided Reconstruction Network for Optical Satellite Image Cloud Removal<\/li>\n\n\n\n
  • CMT ID: 130 \u2013 Ayd\u0131n Kaya \u2013 Hacettepe University \u2013 CMSRNet: A Cloud-Aware Multi-Scale SAR-Guided Reconstruction Network for Optical Satellite Image Cloud Removal<\/li>\n\n\n\n
  • CMT ID: 130 \u2013 Ferdi B\u00fcy\u00fckg\u00fcral \u2013 Turkish Aerospace Industries, Inc. \u2013 CMSRNet: A Cloud-Aware Multi-Scale SAR-Guided Reconstruction Network for Optical Satellite Image Cloud Removal<\/li>\n\n\n\n
  • CMT ID: 130 \u2013 Gizem G\u00f6nen \u2013 Turkish Aerospace Industries, Inc. \u2013 CMSRNet: A Cloud-Aware Multi-Scale SAR-Guided Reconstruction Network for Optical Satellite Image Cloud Removal<\/li>\n\n\n\n
  • CMT ID: 131 \u2013 Abd\u00fcssamet \u00d6zden \u2013 K\u0131r\u0131kkale \u00dcniversitesi \u2013 A Deep Learning-Based Mobile System for Matching Lost Pets Using CNN and Metric Learning<\/li>\n\n\n\n
  • CMT ID: 131 \u2013 Baturalp Budak \u2013 K\u0131r\u0131kkale University \u2013 A Deep Learning-Based Mobile System for Matching Lost Pets Using CNN and Metric Learning<\/li>\n\n\n\n
  • CMT ID: 131 \u2013 Enes Ayan \u2013 K\u0131r\u0131kkale University \u2013 A Deep Learning-Based Mobile System for Matching Lost Pets Using CNN and Metric Learning<\/li>\n\n\n\n
  • CMT ID: 132 \u2013 Kaan Tun\u00e7el \u2013 Zonguldak B\u00fclent Ecevit \u00dcniversitesi \u2013 Derin \u00d6\u011frenme Tabanl\u0131 B\u00f6brek Ta\u015f\u0131 Tespitinde Koronal BT G\u00f6r\u00fcnt\u00fclerine Uygulanan \u00d6n \u0130\u015fleme Tekniklerinin Performans \u00dczerindeki Etkisi<\/li>\n\n\n\n
  • CMT ID: 132 \u2013 Ali Narin \u2013 Zonguldak B\u00fclent Ecevit University \u2013 Derin \u00d6\u011frenme Tabanl\u0131 B\u00f6brek Ta\u015f\u0131 Tespitinde Koronal BT G\u00f6r\u00fcnt\u00fclerine Uygulanan \u00d6n \u0130\u015fleme Tekniklerinin Performans \u00dczerindeki Etkisi<\/li>\n\n\n\n
  • CMT ID: 133 \u2013 Hac\u0131 \u00d6zdemir \u2013 Gazi \u00dcniversitesi \u2013 Yap\u0131land\u0131r\u0131lm\u0131\u015f S\u0131zma Testi Bulgular\u0131yla B\u00fcy\u00fck Dil Modeli Tabanl\u0131 Otomatik Betik \u00dcretimi<\/li>\n\n\n\n
  • CMT ID: 133 \u2013 Mehmet Demirci \u2013 Gazi \u00dcniversitesi \u2013 Yap\u0131land\u0131r\u0131lm\u0131\u015f S\u0131zma Testi Bulgular\u0131yla B\u00fcy\u00fck Dil Modeli Tabanl\u0131 Otomatik Betik \u00dcretimi<\/li>\n\n\n\n
  • CMT ID: 133 \u2013 Furkan \u00c7olhak \u2013 S4E \u2013 Yap\u0131land\u0131r\u0131lm\u0131\u015f S\u0131zma Testi Bulgular\u0131yla B\u00fcy\u00fck Dil Modeli Tabanl\u0131 Otomatik Betik \u00dcretimi<\/li>\n\n\n\n
  • CMT ID: 134 \u2013 Nuran Kamil\u00e7elebi \u2013 Borsa \u0130stanbul \u2013 BISTECH Sisteminde Piyasa Tan\u0131m\u0131ndan Ba\u011f\u0131ms\u0131z Web Tabanl\u0131 \u0130\u015flem Terminali Uygulamas\u0131n\u0131n Geli\u015ftirilmesi ve Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 134 \u2013 Fatih Ye\u015fildal \u2013 Borsa \u0130stanbul \u2013 BISTECH Sisteminde Piyasa Tan\u0131m\u0131ndan Ba\u011f\u0131ms\u0131z Web Tabanl\u0131 \u0130\u015flem Terminali Uygulamas\u0131n\u0131n Geli\u015ftirilmesi ve Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 134 \u2013 Berna \u00c7epo\u011flu Kaya \u2013 Borsa \u0130stanbul \u2013 BISTECH Sisteminde Piyasa Tan\u0131m\u0131ndan Ba\u011f\u0131ms\u0131z Web Tabanl\u0131 \u0130\u015flem Terminali Uygulamas\u0131n\u0131n Geli\u015ftirilmesi ve Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 134 \u2013 Berk Dursun Y\u0131lmaz \u2013 Borsa \u0130stanbul \u2013 BISTECH Sisteminde Piyasa Tan\u0131m\u0131ndan Ba\u011f\u0131ms\u0131z Web Tabanl\u0131 \u0130\u015flem Terminali Uygulamas\u0131n\u0131n Geli\u015ftirilmesi ve Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 134 \u2013 Murat Toprak \u2013 Borsa \u0130stanbul \u2013 BISTECH Sisteminde Piyasa Tan\u0131m\u0131ndan Ba\u011f\u0131ms\u0131z Web Tabanl\u0131 \u0130\u015flem Terminali Uygulamas\u0131n\u0131n Geli\u015ftirilmesi ve Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 134 \u2013 Mehmet G\u00f6kt\u00fcrk \u2013 Gebze Technical University \u2013 BISTECH Sisteminde Piyasa Tan\u0131m\u0131ndan Ba\u011f\u0131ms\u0131z Web Tabanl\u0131 \u0130\u015flem Terminali Uygulamas\u0131n\u0131n Geli\u015ftirilmesi ve Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 135 \u2013 Dervi\u015f Topuz \u2013 Ni\u011fde \u00d6mer Halisdemir \u00dcniversitesi \u2013 2500 Gram \u00dczeri Term Yenido\u011fanlarda Antropometrik \u00d6l\u00e7\u00fcmlerin K\u00fcmeleme Algoritmalar\u0131 ile Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi: Bir Hibrit Modelleme Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 135 \u2013 Sel\u00e7uk Tekg\u00f6z \u2013 Ni\u011fde \u0130l Sa\u011fl\u0131k M\u00fcd\u00fcrl\u00fc\u011f\u00fc \u2013 2500 Gram \u00dczeri Term Yenido\u011fanlarda Antropometrik \u00d6l\u00e7\u00fcmlerin K\u00fcmeleme Algoritmalar\u0131 ile Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi: Bir Hibrit Modelleme Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 135 \u2013 Halil De\u011firmencio\u011flu \u2013 \u00d6zel Ni\u011fde Hayat Hastenesi \u00c7ocuk sa\u011fl\u0131\u011f\u0131 ve Hastal\u0131klar\u0131 \u2013 2500 Gram \u00dczeri Term Yenido\u011fanlarda Antropometrik \u00d6l\u00e7\u00fcmlerin K\u00fcmeleme Algoritmalar\u0131 ile Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi: Bir Hibrit Modelleme Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 137 \u2013 Ihsan Korkmaz \u2013 Kahramanmara\u015f \u0130stiklal \u00dcniversitesi \u2013 Zaman Serisi Tahmininde G\u00f6r\u00fcnt\u00fc Tabanl\u0131 Yakla\u015f\u0131m: CNN ve LSTM Modellerinin XAI ile Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 137 \u2013 Umut Baran G\u00fcven \u2013 Kahramanmaras Istiklal University \u2013 Zaman Serisi Tahmininde G\u00f6r\u00fcnt\u00fc Tabanl\u0131 Yakla\u015f\u0131m: CNN ve LSTM Modellerinin XAI ile Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 137 \u2013 Ramazan Solmaz \u2013 Kahramanmara\u015f \u0130stiklal \u00dcniversitesi \u2013 Zaman Serisi Tahmininde G\u00f6r\u00fcnt\u00fc Tabanl\u0131 Yakla\u015f\u0131m: CNN ve LSTM Modellerinin XAI ile Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 138 \u2013 Vedat Marttin \u2013 Bilecik \u015eeyh Edebali \u00dcniversitesi \u2013 Artificial Intelligence Supported Fake News Detection System<\/li>\n\n\n\n
  • CMT ID: 138 \u2013 Yusuf Yal\u00e7\u0131nkaya \u2013 Bilecik \u015eeyh Edebali \u00dcniversitesi \u2013 Artificial Intelligence Supported Fake News Detection System<\/li>\n\n\n\n
  • CMT ID: 139 \u2013 Meltem Kavakl\u0131 \u2013 Dokuz Eyl\u00fcl \u00dcniversitesi \u2013 A Hybrid Deep Learning Framework for Turkish SMS Classification<\/li>\n\n\n\n
  • CMT ID: 139 \u2013 Kadriye Filiz Balbal \u2013 Dokuz Eyl\u00fcl University \u2013 A Hybrid Deep Learning Framework for Turkish SMS Classification<\/li>\n\n\n\n
  • CMT ID: 140 \u2013 \u00d6zge \u00c7elik \u2013 Bal\u0131kesir University \u2013 Cross-Site Generalization of Transformer-Based Models for Univariate Photovoltaic Power Forecasting<\/li>\n\n\n\n
  • CMT ID: 140 \u2013 Kadriye Filiz Balbal \u2013 Dokuz Eyl\u00fcl University \u2013 Cross-Site Generalization of Transformer-Based Models for Univariate Photovoltaic Power Forecasting<\/li>\n\n\n\n
  • CMT ID: 140 \u2013 Sebahattin \u0130kikarde\u015f \u2013 Bal\u0131kesir University \u2013 Cross-Site Generalization of Transformer-Based Models for Univariate Photovoltaic Power Forecasting<\/li>\n\n\n\n
  • CMT ID: 141 \u2013 Murat KANDIR \u2013 Eski\u015fehir Osmangazi \u00dcniversitesi \u2013 Ticari Marka G\u00f6r\u00fcnt\u00fclerinde Metin Bozulmalar\u0131na Kar\u015f\u0131 CNN-HOG Hibrit \u00d6znitelik Vekt\u00f6rlerinin Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 141 \u2013 \u015eahin I\u015eIK \u2013 Eski\u015fehir Osmangazi \u00dcniversitesi \u2013 Ticari Marka G\u00f6r\u00fcnt\u00fclerinde Metin Bozulmalar\u0131na Kar\u015f\u0131 CNN-HOG Hibrit \u00d6znitelik Vekt\u00f6rlerinin Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 142 \u2013 Ulduz Mammadova \u2013 Alanya University \u2013 Modeling Radon Concentration in Urban Water Sources Using Environmental Variables<\/li>\n\n\n\n
  • CMT ID: 142 \u2013 Merve Do\u011fan \u2013 Alanya University \u2013 Modeling Radon Concentration in Urban Water Sources Using Environmental Variables<\/li>\n\n\n\n
  • CMT ID: 143 \u2013 Nimet Korkmaz \u2013 Kayseri University \u2013 Adaptif Kuplajl\u0131 Fitzhugh\u2013Nagumo N\u00f6ronlar\u0131nda Kuplaj Parametrelerine Ba\u011fl\u0131 Senkronizasyon ve K\u00fcmelenme Dinamikleri<\/li>\n\n\n\n
  • CMT ID: 143 \u2013 Muharrem Enes Yaz\u0131c\u0131 \u2013 Kayseri University \u2013 Adaptif Kuplajl\u0131 Fitzhugh\u2013Nagumo N\u00f6ronlar\u0131nda Kuplaj Parametrelerine Ba\u011fl\u0131 Senkronizasyon ve K\u00fcmelenme Dinamikleri<\/li>\n\n\n\n
  • CMT ID: 144 \u2013 Neslihan Mustak \u2013 \u0130zmir Katip \u00c7elebi \u00dcniversitesi \u2013 A Comparative Study of Neural Machine Translation Services and LLM in Translating Idioms and Cultural Expressions<\/li>\n\n\n\n
  • CMT ID: 144 \u2013 Damla \u00c7ak\u0131r \u2013 Izmir Katip Celebi University \u2013 A Comparative Study of Neural Machine Translation Services and LLM in Translating Idioms and Cultural Expressions<\/li>\n\n\n\n
  • CMT ID: 144 \u2013 Emre \u015eat\u0131r \u2013 \u0130zmir Katip \u00c7elebi University \u2013 A Comparative Study of Neural Machine Translation Services and LLM in Translating Idioms and Cultural Expressions<\/li>\n\n\n\n
  • CMT ID: 145 \u2013 Ali Okatan \u2013 Istanbul Ayd\u0131n University \u2013 Real-Time Turkish Sign Language Recognition Using MediaPipe and Deep Learning: A Production-Ready API Approach<\/li>\n\n\n\n
  • CMT ID: 145 \u2013 \u00d6zge Zelal K\u00fc\u00e7\u00fck \u2013 Istanbul Ayd\u0131n University \u2013 Real-Time Turkish Sign Language Recognition Using MediaPipe and Deep Learning: A Production-Ready API Approach<\/li>\n\n\n\n
  • CMT ID: 146 \u2013 Muhammed Furkan \u00c7apano\u011flu \u2013 Yildiz Technical University \u2013 A Comparative Analysis of Graph Neural Networks for Topology-Based Fault Diagnosis in Electronic Circuits<\/li>\n\n\n\n
  • CMT ID: 146 \u2013 T\u00fclay Y\u0131ld\u0131r\u0131m \u2013 Yildiz Technical University \u2013 A Comparative Analysis of Graph Neural Networks for Topology-Based Fault Diagnosis in Electronic Circuits<\/li>\n\n\n\n
  • CMT ID: 147 \u2013 Serkan Mutlu \u2013 Sakarya Uygulamal\u0131 Bilimler \u00dcniversitesi \u2013 \u0130malat Sistemlerinde Vizyon D\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc ve Dif\u00fczyon Tabanl\u0131 Hibrit PatchCore Yakla\u015f\u0131m\u0131 ile Anomali Tespiti ve G\u00f6rsel Muayene<\/li>\n\n\n\n
  • CMT ID: 147 \u2013 Nil\u00fcfer Yurtay \u2013 Sakarya \u00dcniversitesi \u2013 \u0130malat Sistemlerinde Vizyon D\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc ve Dif\u00fczyon Tabanl\u0131 Hibrit PatchCore Yakla\u015f\u0131m\u0131 ile Anomali Tespiti ve G\u00f6rsel Muayene<\/li>\n\n\n\n
  • CMT ID: 148 \u2013 Sami Tu\u011fal \u2013 Ege \u00dcniversitesi \u2013 B\u00fcy\u00fck Dil Modeli Tabanl\u0131 Veritaban\u0131 ve Form Otomasyonu<\/li>\n\n\n\n
  • CMT ID: 148 \u2013 Murat Osman \u00dcnal\u0131r \u2013 Ege University \u2013 B\u00fcy\u00fck Dil Modeli Tabanl\u0131 Veritaban\u0131 ve Form Otomasyonu<\/li>\n\n\n\n
  • CMT ID: 149 \u2013 Olaf Yunus Laitinen Imanov \u2013 University of Luxembourg \u2013 A Portable Provenance Schema for Auditable Clinical NLP<\/li>\n\n\n\n
  • CMT ID: 149 \u2013 \u00d6zkan G\u00fcnalp \u2013 Ege \u00dcniversitesi \u2013 A Portable Provenance Schema for Auditable Clinical NLP<\/li>\n\n\n\n
  • CMT ID: 149 \u2013 Duygu Eri\u015fken \u2013 Trakya \u00dcniversitesi- A Portable Provenance Schema for Auditable Clinical NLP<\/li>\n\n\n\n
  • CMT ID: 149 \u2013 Rana \u0130rem Turhan \u2013 Riga Technical University \u2013 A Portable Provenance Schema for Auditable Clinical NLP<\/li>\n\n\n\n
  • CMT ID: 149 \u2013 Ayse Tuba Tugrul \u2013 Pamukkale \u00dcniversitesi- A Portable Provenance Schema for Auditable Clinical NLP<\/li>\n\n\n\n
  • CMT ID: 150 \u2013 Latife \u0130layda I\u015f\u0131n \u2013 Ba\u011f\u0131ms\u0131z Ara\u015ft\u0131rmac\u0131 \u2013 A Stable Heterogenous Federated Learning Framework for IoT Intrusion Detection<\/li>\n\n\n\n
  • CMT ID: 153 \u2013 \u00d6zge Kahraman Il\u0131kkan \u2013 Ba\u015fkent \u00dcniversitesi \u2013 Ensemble Machine Learning for Predicting Staphylococcus Aureus Growth in Cheese: A Cardinal Model-Integrated Stacking Approach Across 33 Cheese Varieties<\/li>\n\n\n\n
  • CMT ID: 153 \u2013 Elif \u015eeyma Ba\u011fdat \u2013 Ba\u015fkent \u00dcniversitesi \u2013 Ensemble Machine Learning for Predicting Staphylococcus Aureus Growth in Cheese: A Cardinal Model-Integrated Stacking Approach Across 33 Cheese Varieties<\/li>\n\n\n\n
  • CMT ID: 153 \u2013 \u00d6mer Can \u2013 Konya Teknik \u00dcniversitesi \u2013 Ensemble Machine Learning for Predicting Staphylococcus Aureus Growth in Cheese: A Cardinal Model-Integrated Stacking Approach Across 33 Cheese Varieties<\/li>\n\n\n\n
  • CMT ID: 153 \u2013 \u00d6zkan G\u00fcnalp \u2013 Ege \u00dcniversitesi \u2013 Ensemble Machine Learning for Predicting Staphylococcus Aureus Growth in Cheese: A Cardinal Model-Integrated Stacking Approach Across 33 Cheese Varieties<\/li>\n\n\n\n
  • CMT ID: 153 \u2013 Duygu Eri\u015fken \u2013 Trakya \u00dcniversitesi \u2013 Ensemble Machine Learning for Predicting Staphylococcus Aureus Growth in Cheese: A Cardinal Model-Integrated Stacking Approach Across 33 Cheese Varieties<\/li>\n\n\n\n
  • CMT ID: 154 \u2013 Alperen Tokgoz \u2013 Firat University \u2013 A\u00e7\u0131klanabilir ve Ger\u00e7ek-Zamanl\u0131 \u00c7ok S\u0131n\u0131fl\u0131 \u0130HA A\u011f Sald\u0131r\u0131 Tespiti: Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Bir Makine \u00d6\u011frenmesi Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 154 \u2013 Mustafa \u00c7ekingen \u2013 Orion Innovation \u2013 A\u00e7\u0131klanabilir ve Ger\u00e7ek-Zamanl\u0131 \u00c7ok S\u0131n\u0131fl\u0131 \u0130HA A\u011f Sald\u0131r\u0131 Tespiti: Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Bir Makine \u00d6\u011frenmesi Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 155 \u2013 Alperen Tokgoz \u2013 Firat University \u2013 Heterojen Veri Da\u011f\u0131l\u0131mlar\u0131nda Federe \u00d6\u011frenme Algoritmalar\u0131n\u0131n \u0130HA Sald\u0131r\u0131 Tespiti \u00dczerindeki Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 155 \u2013 Mustafa \u00c7ekingen \u2013 Orion Innovation \u2013 Heterojen Veri Da\u011f\u0131l\u0131mlar\u0131nda Federe \u00d6\u011frenme Algoritmalar\u0131n\u0131n \u0130HA Sald\u0131r\u0131 Tespiti \u00dczerindeki Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 156 \u2013 Alperen Tokgoz \u2013 Firat University \u2013 Kavram Kaymas\u0131 Fark\u0131ndal\u0131kl\u0131 S\u00fcrekli \u00d6\u011frenen \u0130HA A\u011f Sald\u0131r\u0131 Tespit Sistemi: Adaptif Alarm ve A\u00e7\u0131klanabilir Yapay Zeka Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 156 \u2013 Mustafa \u00c7ekingen \u2013 Orion Innovation \u2013 Kavram Kaymas\u0131 Fark\u0131ndal\u0131kl\u0131 S\u00fcrekli \u00d6\u011frenen \u0130HA A\u011f Sald\u0131r\u0131 Tespit Sistemi: Adaptif Alarm ve A\u00e7\u0131klanabilir Yapay Zeka Yakla\u015f\u0131m\u0131<\/li>\n\n\n\n
  • CMT ID: 157 \u2013 Erdin\u00e7 Erler \u2013 Bilecik \u015eeyh Edebali \u00dcniversitesi \u2013 Su Kaynaklar\u0131 Y\u00f6netiminde A\u00e7\u0131k Kaynakl\u0131, U\u00e7tan Uca Otonom ve LLM Destekli Karar Destek Sistemi Mimarisi<\/li>\n\n\n\n
  • CMT ID: 157 \u2013 \u00d6mer Turhan \u2013 Bilecik Seyh Edebali University \u2013 Su Kaynaklar\u0131 Y\u00f6netiminde A\u00e7\u0131k Kaynakl\u0131, U\u00e7tan Uca Otonom ve LLM Destekli Karar Destek Sistemi Mimarisi<\/li>\n\n\n\n
  • CMT ID: 157 \u2013 Hande Bo\u011fazl\u0131yan Turanl\u0131 \u2013 Bilecik \u015eeyh Edebali \u00dcniversitesi \u2013 Su Kaynaklar\u0131 Y\u00f6netiminde A\u00e7\u0131k Kaynakl\u0131, U\u00e7tan Uca Otonom ve LLM Destekli Karar Destek Sistemi Mimarisi<\/li>\n\n\n\n
  • CMT ID: 158 \u2013 Ay\u015fe R\u00fcveyda Bilik \u2013 Cappadocia University \u2013 Evaluation of LLM Hallucination Mitigation Strategies<\/li>\n\n\n\n
  • CMT ID: 158 \u2013 Fadi Y\u0131lmaz \u2013 Qatar University \u2013 Evaluation of LLM Hallucination Mitigation Strategies<\/li>\n\n\n\n
  • CMT ID: 159 \u2013 Alperen Tokgoz \u2013 Firat University \u2013 Sald\u0131r\u0131 Tespit Sistemleri i\u00e7in LLM Tabanl\u0131 A\u00e7\u0131klama Sistemi: UNSW-NB15 Veri Seti \u00dczerinde \u00c7ok A\u015famal\u0131 Bir Yakla\u015f\u0131m<\/li>\n\n\n\n
  • CMT ID: 159 \u2013 Mustafa \u00c7ekingen \u2013 Orion Innovation \u2013 Sald\u0131r\u0131 Tespit Sistemleri i\u00e7in LLM Tabanl\u0131 A\u00e7\u0131klama Sistemi: UNSW-NB15 Veri Seti \u00dczerinde \u00c7ok A\u015famal\u0131 Bir Yakla\u015f\u0131m<\/li>\n\n\n\n
  • CMT ID: 160 \u2013 Sevda \u00d6zaden\u00e7 \u2013 Nev\u015fehir Hac\u0131 Bekta\u015f Veli University \u2013 B\u00fcy\u00fck Dil Modellerinde T\u00fcrk\u00e7e Muhakeme Sadakati ve Epistemik Kalibrasyonun Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 160 \u2013 Ersin K\u0131l\u0131\u00e7 \u2013 Nev\u015fehir Hac\u0131 Bekta\u015f Veli University \u2013 B\u00fcy\u00fck Dil Modellerinde T\u00fcrk\u00e7e Muhakeme Sadakati ve Epistemik Kalibrasyonun Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analizi<\/li>\n\n\n\n
  • CMT ID: 162 \u2013 Mahmut Sa\u011fl\u0131yan \u2013 Kapadokya \u00dcniversitesi \u2013 Evaluation of Active Learning Query Strategies in \u0130mage Data<\/li>\n\n\n\n
  • CMT ID: 162 \u2013 Sait Ali Uymaz \u2013 Konya Technical University \u2013 Evaluation of Active Learning Query Strategies in \u0130mage Data<\/li>\n\n\n\n
  • CMT ID: 163 \u2013 Dilara Karao\u011flan \u2013 Konya Technical University \u2013 Cluster-Based LSTM Modeling of Station-Level Daily Demand in a Bicycle Sharing System<\/li>\n\n\n\n
  • CMT ID: 163 \u2013 Sait Ali Uymaz \u2013 Konya Technical University \u2013 Cluster-Based LSTM Modeling of Station-Level Daily Demand in a Bicycle Sharing System<\/li>\n\n\n\n
  • CMT ID: 164 \u2013 Prakhar Sahu* \u2013 Chandigarh University \u2013 A Multi-Agent AI Framework for Autonomous Recommendation & Proactive Contingency Planning<\/li>\n\n\n\n
  • CMT ID: 164 \u2013 Satyam Singh* \u2013 Chandigarh University \u2013 A Multi-Agent AI Framework for Autonomous Recommendation & Proactive Contingency Planning<\/li>\n\n\n\n
  • CMT ID: 164 \u2013 Vibhansh Alok* \u2013 Chandigarh University \u2013 A Multi-Agent AI Framework for Autonomous Recommendation & Proactive Contingency Planning<\/li>\n\n\n\n
  • CMT ID: 164 \u2013 Anamika Larhgotra* \u2013 Chandigarh University \u2013 A Multi-Agent AI Framework for Autonomous Recommendation & Proactive Contingency Planning<\/li>\n\n\n\n
  • CMT ID: 165 \u2013 Ebru Bak\u0131r \u2013 \u0130zmir Katip \u00c7elebi University \u2013 Computational Approaches to Vaccine Hesitancy on Social Media: A Review with Focus on Turkish Context<\/li>\n\n\n\n
  • CMT ID: 165 \u2013 Ayta\u00e7 G\u00fcl \u2013 Hatay Mustafa Kemal University \u2013 Computational Approaches to Vaccine Hesitancy on Social Media: A Review with Focus on Turkish Context<\/li>\n\n\n\n
  • CMT ID: 165 \u2013 Mehmet Emin Bak\u0131r \u2013 \u0130zmir Katip \u00c7elebi University \u2013 Computational Approaches to Vaccine Hesitancy on Social Media: A Review with Focus on Turkish Context<\/li>\n\n\n\n
  • CMT ID: 165 \u2013 Tu\u011fba \u00c7al\u0131\u015f\u0131r \u2013 Hatay Mustafa Kemal University \u2013 Computational Approaches to Vaccine Hesitancy on Social Media: A Review with Focus on Turkish Context<\/li>\n\n\n\n
  • CMT ID: 165 \u2013 Esra \u00d6zp\u0131nar \u2013 Hatay Mustafa Kemal University \u2013 Computational Approaches to Vaccine Hesitancy on Social Media: A Review with Focus on Turkish Context<\/li>\n\n\n\n
  • CMT ID: 165 \u2013 Osman F\u0131rat \u00c7al\u0131\u015fkan \u2013 Hatay Mustafa Kemal University \u2013 Computational Approaches to Vaccine Hesitancy on Social Media: A Review with Focus on Turkish Context<\/li>\n\n\n\n
  • CMT ID: 165 \u2013 Vedat T\u00fcmen \u2013 Hatay Mustafa Kemal University \u2013 Computational Approaches to Vaccine Hesitancy on Social Media: A Review with Focus on Turkish Context<\/li>\n\n\n\n
  • CMT ID: 166 \u2013 Muhammet O\u011fuzhan Yal\u00e7\u0131n \u2013 Mu\u011fla S\u0131tk\u0131 Ko\u00e7man \u00dcniversitesi \u2013 Examining the Success of Artificial Intelligence in Generating Poetry<\/li>\n\n\n\n
  • CMT ID: 167 \u2013 Tar\u0131k \u015eener \u2013 Sakarya University \u2013 Virtual-M40: A 40-Metric Labeled Dataset for Supervised Attack Detection in Virtualized Environments<\/li>\n\n\n\n
  • CMT ID: 167 \u2013 \u0130brahim \u00d6z\u00e7elik \u2013 Sakarya University \u2013 Virtual-M40: A 40-Metric Labeled Dataset for Supervised Attack Detection in Virtualized Environments<\/li>\n\n\n\n
  • CMT ID: 168 \u2013 Mehmet Fatih Sert \u2013 Gaziantep University \u2013 Borsa \u0130stanbul\u2019da G\u00fc\u00e7l\u00fc Fiyat S\u0131\u00e7ramalar\u0131 Sonras\u0131 K\u0131sa Vadeli Fiyat Art\u0131\u015flar\u0131n\u0131n Topluluk \u00d6\u011frenmesi ile Tahmini<\/li>\n\n\n\n
  • CMT ID: 169 \u2013 Seda \u015eahin \u2013 \u00c7ank\u0131r\u0131 Karatekin \u00dcniversitesi \u2013 Derin \u00d6\u011frenme Tabanl\u0131 CNN Modeli ile Okyanus At\u0131klar\u0131n\u0131n S\u0131n\u0131fland\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 169 \u2013 Halil \u0130brahim Kiraz \u2013 \u00c7ank\u0131r\u0131 Karatekin \u00dcniversitesi \u2013 Derin \u00d6\u011frenme Tabanl\u0131 CNN Modeli ile Okyanus At\u0131klar\u0131n\u0131n S\u0131n\u0131fland\u0131r\u0131lmas\u0131<\/li>\n\n\n\n
  • CMT ID: 170 \u2013 S\u00fcleyman G\u00fcrb\u00fcz* \u2013 Yozgat Bozok University \u2013 Geleneksel Ekonometriden Yapay Zekaya: Turizm Gelirlerinin Belirleyicileri \u00dczerine Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Bir \u0130nceleme<\/li>\n\n\n\n
  • CMT ID: 172 \u2013 Ukba \u00d6zdemir \u2013 Bolu Abant \u0130zzet Baysal \u00dcniversitesi \u2013 Hybrid 3D U-Net & VGG16 for Neuro-Oncology<\/li>\n\n\n\n
  • CMT ID: 172 \u2013 Kemal Polat \u2013 Bolu Abant Izzet Baysal University \u2013 Hybrid 3D U-Net & VGG16 for Neuro-Oncology<\/li>\n\n\n\n
  • CMT ID: 173 \u2013 \u015eeymanur Ba\u015fg\u00f6ze \u2013 Kapadokya University \u2013 Dual-Stream Deep Learning-Based Detection of Hypertensive Retinopathy<\/li>\n\n\n\n
  • CMT ID: 173 \u2013 Esra Odaba\u015f Y\u0131ld\u0131r\u0131m \u2013 Atat\u00fcrk \u00dcniversitesi \u2013 Dual-Stream Deep Learning-Based Detection of Hypertensive Retinopathy<\/li>\n\n\n\n
  • CMT ID: 174 \u2013 Mohamed Fawzy Farahat Rateb Hassan \u2013 Karadeniz Teknik \u00dcniversitesi \u2013 Does Encoder Size Compensate for Aggregator Design? An Empirical Study of Spatial Aggregation in Whole Slide Image Classification<\/li>\n\n\n\n
  • CMT ID: 174 \u2013 Murat Ekinci \u2013 Karadeniz Teknik Universitesi \u2013 Does Encoder Size Compensate for Aggregator Design? An Empirical Study of Spatial Aggregation in Whole Slide Image Classification<\/li>\n\n\n\n
  • CMT ID: 175 \u2013 \u0130kbalnur \u00d6zkan \u2013 Erzurum Technical University \u2013 Machine Learning-Based Normal Behavior Modeling in Multicopter Systems<\/li>\n\n\n\n
  • CMT ID: 175 \u2013 S\u0131la Altunsoy \u2013 Erzurum Technical University \u2013 Machine Learning-Based Normal Behavior Modeling in Multicopter Systems<\/li>\n\n\n\n
  • CMT ID: 175 \u2013 Kardelen \u00c7oban \u2013 Erzurum Technical University \u2013 Machine Learning-Based Normal Behavior Modeling in Multicopter Systems<\/li>\n\n\n\n
  • CMT ID: 175 \u2013 Nadide \u00c7a\u011flayan \u00d6zayd\u0131n \u2013 Erzurum Technical University \u2013 Machine Learning-Based Normal Behavior Modeling in Multicopter Systems<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 Tu\u011fba G\u00fcl \u2013 Medyasoft \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 Mustafa G\u00f6n\u00fclta\u015f \u2013 Medyasoft \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 \u00c7a\u011fatay Demirba\u011f \u2013 Medyasoft \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 \u00d6zlem Kozan \u2013 Medyasoft \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 G\u00f6k\u00e7en G\u00f6kyer Nalc\u0131 \u2013 Medyasoft \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 Murat Can \u00c7otur \u2013 Medyasoft \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 Hilmiye Adaba\u015f\u0131 \u2013 Medyasoft \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 176 \u2013 \u00d6nder Demir \u2013 Marmara \u00dcniversitesi \u2013 Uygulama Loglar\u0131n\u0131n Yapay Zeka ile Analizi ve Aksiyon Odakl\u0131 Karar Destek Sistemi<\/li>\n\n\n\n
  • CMT ID: 177 \u2013 Erhan Tiryaki \u2013 Kilis 7 Aral\u0131k University \u2013 AI-Based Risk Classification of Consumer Food Safety Practices in Domestic (Home) Settings: A USDA-Based Case Study<\/li>\n\n\n\n
  • CMT ID: 177 \u2013 Emine Ozen \u2013 Ardahan University \u2013 AI-Based Risk Classification of Consumer Food Safety Practices in Domestic (Home) Settings: A USDA-Based Case Study<\/li>\n\n\n\n
  • CMT ID: 178 \u2013 Burcu Kartal \u2013 Recep Tayyip Erdo\u011fan \u00dcniversitesi \u2013 Yapay Ar\u0131 Kolonisi Tabanl\u0131 \u0130\u00e7 \u0130\u00e7e Optimizasyon ile Se\u00e7im Tahmini: Sosyoekonomik Moderasyon ve \u00c7ok Kaynakl\u0131 Veri Entegrasyonu<\/li>\n\n\n\n
  • CMT ID: 179 \u2013 Ceren \u00c7inarl\u0131 \u2013 Ondokuz May\u0131s \u00dcniversitesi \u2013 G\u00fcvenli Mesajla\u015fma Uygulamalar\u0131ndaki \u015eifreleme Algoritmalar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131 ve Hibrit Model \u00d6nerisi<\/li>\n\n\n\n
  • CMT ID: 179 \u2013 Buse Y\u0131ld\u0131r\u0131m \u2013 Ondokuz Mayis Universitesi \u2013 G\u00fcvenli Mesajla\u015fma Uygulamalar\u0131ndaki \u015eifreleme Algoritmalar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131 ve Hibrit Model \u00d6nerisi<\/li>\n\n\n\n
  • CMT ID: 179 \u2013 Meryem Soysaldi \u2013 Ondokuz Mayis University \u2013 G\u00fcvenli Mesajla\u015fma Uygulamalar\u0131ndaki \u015eifreleme Algoritmalar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131 ve Hibrit Model \u00d6nerisi<\/li>\n\n\n\n
  • CMT ID: 180 \u2013 \u0130sa Erol \u2013 Adli T\u0131p Kurumu \u2013 Adli Bili\u015fimde Konu\u015fma Sinyallerinden Duygu Tan\u0131ma: Whisper ve CNN-Mamba Tabanl\u0131 Dinamik F\u00fczyon Modeli<\/li>\n\n\n\n
  • CMT ID: 180 \u2013 B\u00fclent Bolat \u2013 Y\u0131ld\u0131z Teknik \u00dcniversitesi \u2013 Adli Bili\u015fimde Konu\u015fma Sinyallerinden Duygu Tan\u0131ma: Whisper ve CNN-Mamba Tabanl\u0131 Dinamik F\u00fczyon Modeli<\/li>\n\n\n\n
  • CMT ID: 182 \u2013 Vojeshwini M V* \u2013 Alliance Technology \u2013 CropAI: Explainable AI for Precision Crop Yield Prediction and Counterfactual Input Optimization<\/li>\n\n\n\n
  • CMT ID: 185 \u2013 Fatma Nur Sar\u0131kaya \u2013 \u0130stanbul Galata \u00dcniversitesi \u2013 Anthropomorphism in Marketing: A Bibliometric Analysis of the Literature<\/li>\n\n\n\n
  • CMT ID: 186 \u2013 Fatma Akpolat \u2013 U\u015fak University \u2013 The Fractal Structure of Fingerprints and Their Functionality in Modern Technology<\/li>\n\n\n\n
  • CMT ID: 187 \u2013 Emine Karayel \u2013 Ondokuz May\u0131s \u00dcniversitesi \u2013 Yaz\u0131l\u0131m Kusur Tespiti i\u00e7in Makine \u00d6\u011frenmesi Algoritmalar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 187 \u2013 Durmu\u015f \u015eahin \u2013 Ondokuz May\u0131s \u00dcniversitesi \u2013 Yaz\u0131l\u0131m Kusur Tespiti i\u00e7in Makine \u00d6\u011frenmesi Algoritmalar\u0131n\u0131n Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Performans Analizi<\/li>\n\n\n\n
  • CMT ID: 188 \u2013 Bu\u011fra Alperen Ulu\u0131rmak \u2013 Erciyes universitesi \u2013 Adapting I-JEPA for Low-Resolution Image Understanding: A Grid-Constrained Self-Supervised Learning Approach on CIFAR-10<\/li>\n\n\n\n
  • CMT ID: 188 \u2013 Rifat Kurban \u2013 Abdullah Gul University \u2013 Adapting I-JEPA for Low-Resolution Image Understanding: A Grid-Constrained Self-Supervised Learning Approach on CIFAR-10<\/li>\n\n\n\n
  • CMT ID: 188 \u2013 Ali Durmu\u015f \u2013 Kayseri University \u2013 Adapting I-JEPA for Low-Resolution Image Understanding: A Grid-Constrained Self-Supervised Learning Approach on CIFAR-10<\/li>\n\n\n\n
  • CMT ID: 190 \u2013 Yasir K\u0131l\u0131\u00e7 \u2013 Adana Alparslan T\u00fcrke\u015f Bilim ve Teknoloji \u00dcniversitesi- Formalizing Information Security Risks in 6G Networks: From Review to Threat Modeling<\/li>\n\n\n\n
  • CMT ID: 190 \u2013 Murat Varol \u2013 Zonguldak B\u00fclent Ecevit \u00dcniversitesi \u2013 Formalizing Information Security Risks in 6G Networks: From Review to Threat Modeling<\/li>\n\n\n\n
  • CMT ID: 191 \u2013 Oktay Can Sevimgin \u2013 Ayd\u0131n Adnan Menderes \u00dcniversitesi \u2013 An Explainable Hybrid Machine Learning Framework for Loan Approval Prediction Based on Random Forest, Light Gradient Boosting Machine, Combined with Grey Wolf Optimizer Algorithms<\/li>\n\n\n\n
  • CMT ID: 191 \u2013 Denizhan Demirkol \u2013 Ayd\u0131n Adnan Menderes \u00dcniversitesi \u2013 An Explainable Hybrid Machine Learning Framework for Loan Approval Prediction Based on Random Forest, Light Gradient Boosting Machine, Combined with Grey Wolf Optimizer Algorithms<\/li>\n\n\n\n
  • CMT ID: 194 \u2013 Hilal Kahraman \u2013 Izmir K\u00e2tip Celebi University \u2013 Algoritmik Ara\u00e7salla\u015ft\u0131rma Kar\u015f\u0131s\u0131nda Kant\u00e7\u0131 Ahlak: Yapay Zek\u00e2 \u00c7a\u011f\u0131nda \u0130nsan Onurunu ve \u00d6zerkli\u011fini Yeniden D\u00fc\u015f\u00fcnmek<\/li>\n<\/ul>\n\n\n\n

    Participants who will not submit a paper<\/strong><\/h2>\n\n\n\n
      \n
    • Kenan \u0130pek – S\u00fcleyman Demirel \u00dcniversitesi<\/li>\n\n\n\n
    • Celalettin D\u00fc\u015fg\u00fcn – Erciyes University<\/li>\n\n\n\n
    • El\u00e7in Quluzad\u0259 – Milli M\u00fcdafi\u0259 \u00dcniversiteti<\/li>\n\n\n\n
    • Muhammet G\u00fcl – Marmara \u00dcniversitesi<\/li>\n\n\n\n
    • Elif \u00d6c\u00fct Ayhan – TURKCELL<\/li>\n\n\n\n
    • Ahmet \u015een – Mu\u015f Alparslan \u00dcniversitesi<\/li>\n\n\n\n
    • Adnan Atmaca – Ahmet Yesevi \u00dcniversitesi<\/li>\n\n\n\n
    • Ceylan Ya\u015far – Gaziantep \u00dcniversitesi \/ G\u00f6\u00e7 Enstit\u00fcs\u00fc<\/li>\n<\/ul>\n\n\n\n

      Workshop Participants<\/strong><\/h2>\n\n\n\n
        \n
      • Prof. Dr. Muhittin G\u00f6kmen – MEF \u00dcniversitesi<\/li>\n\n\n\n
      • Prof. Dr. Kemal \u00d6zkan – Eski\u015fehir Osmangazi \u00dcniversitesi<\/li>\n\n\n\n
      • Asst. Prof. Dr. Mehmet Fatih Sert – Gaziantep University<\/li>\n\n\n\n
      • Dr. B\u00fclent \u015eahin – Dar\u00fc\u015f\u015fafaka E\u011fitim Kurumlar\u0131<\/li>\n\n\n\n
      • Z\u00fcleyha Irmak – Adana Alparslan T\u00fcrke\u015f Bilim ve Teknoloji \u00dcniversitesi<\/li>\n\n\n\n
      • Tuncay \u00d6zdemiro\u011flu – Akdeniz \u00dcniversitesi<\/li>\n\n\n\n
      • K\u00fcr\u015fat i\u0130han – Nev\u015fehir Hac\u0131 Bekta\u015f Veli \u00dcniversitesi<\/li>\n\n\n\n
      • Hamza Ceylan – Kapadokya \u00dcniversitesi<\/li>\n\n\n\n
      • Gulhan Bilen – \u00c7al\u0131\u015fma ve Sosyal G\u00fcvenlik Bakanl\u0131\u011f\u0131<\/li>\n\n\n\n
      • Faz\u0131l Bing\u00fcl – \u00c7evre \u015eehircilik ve \u0130klim De\u011fi\u015fikli\u011fi Bakanl\u0131\u011f\u0131<\/li>\n\n\n\n
      • Alper T\u0131ld\u0131z – \u00c7a\u011f \u00dcniversitesi<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

        Click here to download the Summary Program. Click here to download the Entire Program. ICADA 2026 ONLINE SEASON HALL A – https:\/\/teams.microsoft.com\/meet\/394363801078821?p=6chZCC9vyD9LYDtB9Q ICADA 2026 ONLINE SEASON HALL B – https:\/\/teams.microsoft.com\/meet\/333417078171388?p=wFJWVgjwuGlj4UuDR7 ICADA 2026 ONLINE SEASON HALL C – https:\/\/teams.microsoft.com\/meet\/385369037638809?p=nntqD4kHNMC5zBBvVO ICADA 2026 ONLINE SEASON HALL D – https:\/\/teams.microsoft.com\/meet\/354265962609194?p=cscFbHgHVzL6OKd0Cu ICADA 2026 ONLINE SEASON HALL E – https:\/\/teams.microsoft.com\/meet\/318415523694582?p=8NEQPead7dlYJUMCv0 Participants who will present papers *Important Note: Participants whose names are […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-37","page","type-page","status-publish","hentry","post"],"_links":{"self":[{"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/pages\/37","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/comments?post=37"}],"version-history":[{"count":16,"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/pages\/37\/revisions"}],"predecessor-version":[{"id":613,"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/pages\/37\/revisions\/613"}],"wp:attachment":[{"href":"https:\/\/icada.com.tr\/en\/wp-json\/wp\/v2\/media?parent=37"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}