A study of recent classification algorithms and a novel approach for EEG data classification. - Eyüp Çinar; Ferat Sahin (SMC, 2010)

In-Vivo Fault Analysis and Real-Time Fault Prediction for RF Generators Using State-of-the-Art Classifiers. - Girish Chandrashekar; Ferat Sahin; Eyüp Çinar; Aaron Radomski; Dan Sarosky (SMC, 2013)

New classification techniques for electroencephalogram (EEG) signals and a real-time EEG control of a robot. - Eyüp Çinar; Ferat Sahin (Neural Comput. Appl., 2013)

A system of systems analysis of a multi-probe SPM system. - Eyüp Çinar; Ferat Sahin (SoSE, 2015)

A Comparison of Data Imputation Methods Utilizing Machine Learning for a New IoT System Platform. - Sena Kalay; Eyüp Çinar; Inci Sariçiçek (CoDIT, 2022)

A Sensor Fusion Method using Deep Transfer Learning for Fault Detection in Equipment Condition Monitoring. - Eyüp Çinar (INISTA, 2022)

Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle. - Özgür Gültekin; Eyüp Çinar; Kemal Özkan; Ahmet Yazici (Expert Syst. Appl., 2022)

A novel deep learning approach for intelligent fault diagnosis applications based on time-frequency images. - Özgür Gültekin; Eyüp Çinar; Kemal Özkan; Ahmet Yazici (Neural Comput. Appl., 2022)

A Sensor Fusion Method Using Transfer Learning Models for Equipment Condition Monitoring. - Eyüp Çinar (Sensors, 2022)

Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence. - Özgür Gültekin; Eyüp Çinar; Kemal Özkan; Ahmet Yazici (Sensors, 2022)

Unsupervised dissimilarity-based fault detection method for autonomous mobile robots. - Mahmut Kasap; Metin Yílmaz; Eyüp Çinar; Ahmet Yazici (Auton. Robots, 2023)

Optimization of Charging Prediction in Electric Vehicle Fleets: An Integrated Approach with EdgeAI and Data Flow Pipelines. - Enes Sevim; Utku Evren Dalgiç; Metin Yílmaz; Eyüp Çinar; Ahmet Yazici (SIU, 2024)

A Survey on Fluid Antenna Multiple Access for 6G: A New Multiple Access Technology That Provides Great Diversity in a Small Space. - A. F. M. Shahen Shah; Muhammet Ali Karabulut; Eyüp Çinar; Khaled M. Rabie (IEEE Access, 2024)

Federated Learning Based State of Health Estimation for Lithium-Ion Batteries. - Enes Sevim; Metin Yílmaz; Eyüp Çinar; Ahmet Yazici (SoSE, 2025)

A Transformer-Based Model for State of Charge Estimation of Electric Vehicle Batteries. - Metin Yílmaz; Eyüp Çinar; Ahmet Yazici (IEEE Access, 2025)

Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum. - Metin Yílmaz; Eyüp Çinar; Ahmet Yazici (IEEE Access, 2025)