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Eyüp Çinar
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2020 – today
- 2024
- [j7]A. F. M. Shahen Shah, Muhammet Ali Karabulut, Eyüp Çinar, Khaled M. Rabie:
A Survey on Fluid Antenna Multiple Access for 6G: A New Multiple Access Technology That Provides Great Diversity in a Small Space. IEEE Access 12: 88410-88425 (2024) - [c6]Enes Sevim, Utku Evren Dalgiç, Metin Yílmaz, Eyüp Çinar, Ahmet Yazici:
Optimization of Charging Prediction in Electric Vehicle Fleets: An Integrated Approach with EdgeAI and Data Flow Pipelines. SIU 2024: 1-4 - 2023
- [j6]Mahmut Kasap, Metin Yílmaz, Eyüp Çinar, Ahmet Yazici:
Unsupervised dissimilarity-based fault detection method for autonomous mobile robots. Auton. Robots 47(8): 1503-1518 (2023) - 2022
- [j5]Özgür Gültekin, Eyüp Çinar, Kemal Özkan, Ahmet Yazici:
Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle. Expert Syst. Appl. 200: 117055 (2022) - [j4]Özgür Gültekin, Eyüp Çinar, Kemal Özkan, Ahmet Yazici:
A novel deep learning approach for intelligent fault diagnosis applications based on time-frequency images. Neural Comput. Appl. 34(6): 4803-4812 (2022) - [j3]Özgür Gültekin, Eyüp Çinar, Kemal Özkan, Ahmet Yazici:
Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence. Sensors 22(9): 3208 (2022) - [j2]Eyüp Çinar:
A Sensor Fusion Method Using Transfer Learning Models for Equipment Condition Monitoring. Sensors 22(18): 6791 (2022) - [c5]Sena Kalay, Eyüp Çinar, Inci Sariçiçek:
A Comparison of Data Imputation Methods Utilizing Machine Learning for a New IoT System Platform. CoDIT 2022: 69-74 - [c4]Eyüp Çinar:
A Sensor Fusion Method using Deep Transfer Learning for Fault Detection in Equipment Condition Monitoring. INISTA 2022: 1-6
2010 – 2019
- 2015
- [c3]Eyüp Çinar, Ferat Sahin:
A system of systems analysis of a multi-probe SPM system. SoSE 2015: 117-121 - 2013
- [j1]Eyüp Çinar, Ferat Sahin:
New classification techniques for electroencephalogram (EEG) signals and a real-time EEG control of a robot. Neural Comput. Appl. 22(1): 29-39 (2013) - [c2]Girish Chandrashekar, Ferat Sahin, Eyüp Çinar, Aaron Radomski, Dan Sarosky:
In-Vivo Fault Analysis and Real-Time Fault Prediction for RF Generators Using State-of-the-Art Classifiers. SMC 2013: 1634-1639 - 2010
- [c1]Eyüp Çinar, Ferat Sahin:
A study of recent classification algorithms and a novel approach for EEG data classification. SMC 2010: 3366-3372
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last updated on 2024-08-06 22:05 CEST by the dblp team
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