| A multi-objective artificial immune algorithm for parameter optimization in support vector machine I Aydin, M Karakose, E Akin Applied soft computing 11 (1), 120-129, 2011 | 285 | 2011 |
| A novel hybrid deep learning model for sentiment classification MU Salur, I Aydin IEEE Access 8, 58080-58093, 2020 | 225 | 2020 |
| A navigation and reservation based smart parking platform using genetic optimization for smart cities I Aydin, M Karakose, E Karakose 2017 5th International Istanbul Smart Grid and Cities Congress and Fair …, 2017 | 143 | 2017 |
| A New Experimental Approach Using Image Processing Based Tracking for an Efficient Fault Diagnosis in Pantograph-Catenary Systems E Karakose, MT Gencoglu, M Karakose, I Aydin, E Akin IEEE Transactions on Industrial Informatics 13 (2), 635 - 643, 2017 | 120 | 2017 |
| Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection I Aydin, M Karakose, E Akin Expert Systems with Applications 37 (7), 5285-5294, 2010 | 104 | 2010 |
| Anomaly detection using a modified kernel-based tracking in the pantograph–catenary system I Aydin, M Karakose, E Akin Expert Systems with Applications 42 (2), 938-948, 2015 | 92 | 2015 |
| A new method for early fault detection and diagnosis of broken rotor bars I Aydin, M Karakose, E Akin Energy Conversion and Management 52 (4), 1790-1799, 2011 | 91 | 2011 |
| An embedded real-time object detection and measurement of its size NA Othman, MU Salur, M Karakose, I Aydin 2018 International Conference on Artificial Intelligence and Data Processing …, 2018 | 82 | 2018 |
| A new IoT combined face detection of people by using computer vision for security application I Aydin, NA Othman 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 80 | 2017 |
| COVID-19 detection using deep learning methods M Sevi, İ Aydin 2020 International conference on data analytics for business and industry …, 2020 | 79 | 2020 |
| An approach for automated fault diagnosis based on a fuzzy decision tree and boundary analysis of a reconstructed phase space I Aydin, M Karakose, E Akin ISA transactions 53 (2), 220-229, 2014 | 78 | 2014 |
| A face recognition method in the Internet of Things for security applications in smart homes and cities NA Othman, I Aydin 2018 6th International Istanbul Smart Grids and Cities Congress and Fair …, 2018 | 73 | 2018 |
| Artificial immune based support vector machine algorithm for fault diagnosis of induction motors I Aydin, M Karakose, E Akin 2007 International Aegean Conference on Electrical Machines and Power …, 2007 | 71 | 2007 |
| A robust anomaly detection in pantograph-catenary system based on mean-shift tracking and foreground detection I Aydin, M Karaköse, E Akin 2013 IEEE international conference on systems, man, and cybernetics, 4444-4449, 2013 | 67 | 2013 |
| Combined intelligent methods based on wireless sensor networks for condition monitoring and fault diagnosis İ Aydın, M Karaköse, E Akın Journal of Intelligent Manufacturing 26 (4), 717-729, 2015 | 66 | 2015 |
| A new arc detection method based on fuzzy logic using S-transform for pantograph–catenary systems E Karakose, MT Gencoglu, M Karakose, O Yaman, I Aydin, E Akin Journal of Intelligent Manufacturing 29 (4), 839-856, 2018 | 65 | 2018 |
| Defect classification based on deep features for railway tracks in sustainable transportation I Aydin, E Akin, M Karakose Applied Soft Computing 111, 107706, 2021 | 64 | 2021 |
| A new IoT combined body detection of people by using computer vision for security application NA Othman, I Aydin 2017 9th International Conference on Computational Intelligence and …, 2017 | 63 | 2017 |
| The prediction algorithm based on fuzzy logic using time series data mining method I Aydin, M Karakose, E Akin World Academy of Science, Engineering and Technology 51 (27), 91-98, 2009 | 61 | 2009 |
| A new contactless fault diagnosis approach for pantograph-catenary system I Aydin, M Karaköse, E Akin Proceedings of 15th international conference MECHATRONIKA, 1-6, 2012 | 60 | 2012 |
Erhan AkinProfessor of Computer Engineering, Firat Universityfirat.edu.tr의 이메일 확인됨