Eyüp Çinar - RankMe

19 papers B 2C 3Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep meta-learning-based multi-signal data fusion approach for fault diagnosis. J. Intell. Manuf. Özgür Gültekin, Eyüp Çinar
2025	J	`jnl`	A Transformer-Based Model for State of Charge Estimation of Electric Vehicle Batteries. IEEE Access Metin Yílmaz, Eyüp Çinar, Ahmet Yazici
2025	J	`jnl`	BRAID: Bounded Reasoning for Autonomous Inference and Decisions. CoRR Armagan Amcalar, Eyüp Çinar
2025	—	`conf`	Federated Learning Based State of Health Estimation for Lithium-Ion Batteries. SoSE Enes Sevim, Metin Yílmaz, Eyüp Çinar, Ahmet Yazici
2025	J	`jnl`	Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum. IEEE Access Metin Yílmaz, Eyüp Çinar, Ahmet Yazici
2025	C	`conf`	Sequence-to-Temperature: RAG-Enhanced and XAI-Supported OGT Estimation from Archaea tRNA Sequences Using Transformer-Based Embeddings. BIBE Ahmet Telçeken, Eyüp Çinar
2024	J	`jnl`	A Survey on Fluid Antenna Multiple Access for 6G: A New Multiple Access Technology That Provides Great Diversity in a Small Space. IEEE Access A. F. M. Shahen Shah, Muhammet Ali Karabulut, Eyüp Çinar, Khaled M. Rabie
2024	—	`conf`	Optimization of Charging Prediction in Electric Vehicle Fleets: An Integrated Approach with EdgeAI and Data Flow Pipelines. SIU Enes Sevim, Utku Evren Dalgiç, Metin Yílmaz, Eyüp Çinar, Ahmet Yazici
2023	J	`jnl`	Unsupervised dissimilarity-based fault detection method for autonomous mobile robots. Auton. Robots Mahmut Kasap, Metin Yílmaz, Eyüp Çinar, Ahmet Yazici
2022	C	`conf`	A Comparison of Data Imputation Methods Utilizing Machine Learning for a New IoT System Platform. CoDIT Sena Kalay, Eyüp Çinar, Inci Sariçiçek
2022	J	`jnl`	A Sensor Fusion Method Using Transfer Learning Models for Equipment Condition Monitoring. Sensors Eyüp Çinar
2022	C	`conf`	A Sensor Fusion Method using Deep Transfer Learning for Fault Detection in Equipment Condition Monitoring. INISTA Eyüp Çinar
2022	J	`jnl`	A novel deep learning approach for intelligent fault diagnosis applications based on time-frequency images. Neural Comput. Appl. Özgür Gültekin, Eyüp Çinar, Kemal Özkan, Ahmet Yazici
2022	J	`jnl`	Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle. Expert Syst. Appl. Özgür Gültekin, Eyüp Çinar, Kemal Özkan, Ahmet Yazici
2022	J	`jnl`	Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence. Sensors Özgür Gültekin, Eyüp Çinar, Kemal Özkan, Ahmet Yazici
2015	—	`conf`	A system of systems analysis of a multi-probe SPM system. SoSE Eyüp Çinar, Ferat Sahin
2013	B	`conf`	In-Vivo Fault Analysis and Real-Time Fault Prediction for RF Generators Using State-of-the-Art Classifiers. SMC Girish Chandrashekar, Ferat Sahin, Eyüp Çinar, Aaron Radomski, Dan Sarosky
2013	J	`jnl`	New classification techniques for electroencephalogram (EEG) signals and a real-time EEG control of a robot. Neural Comput. Appl. Eyüp Çinar, Ferat Sahin
2010	B	`conf`	A study of recent classification algorithms and a novel approach for EEG data classification. SMC Eyüp Çinar, Ferat Sahin