| Chaos embedded particle swarm optimization algorithms B Alatas, E Akin, AB Ozer Chaos, Solitons & Fractals 40 (4), 1715-1734, 2009 | 679 | 2009 |
| Estimating driving behavior by a smartphone H Eren, S Makinist, E Akin, A Yilmaz 2012 IEEE Intelligent Vehicles Symposium, 234-239, 2012 | 412 | 2012 |
| An effect analysis of industry 4.0 to higher education M Baygin, H Yetis, M Karakose, E Akin 2016 15th international conference on information technology based higher …, 2016 | 367 | 2016 |
| 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 | 302 | 2011 |
| MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules B Alatas, E Akin, A Karci Applied Soft Computing 8 (1), 646-656, 2008 | 265 | 2008 |
| An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules B Alataş, E Akin Soft Computing 10 (3), 230-237, 2006 | 142 | 2006 |
| 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, 2016 | 131 | 2016 |
| A new computer vision based method for rail track detection and fault diagnosis in railways M Karakose, O Yaman, M Baygin, K Murat, E Akin International Journal of Mechanical Engineering and Robotics Research 6 (1 …, 2017 | 112 | 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 | 108 | 2010 |
| Machine vision based defect detection approach using image processing M Baygin, M Karakose, A Sarimaden, E Akin 2017 international artificial intelligence and data processing symposium …, 2017 | 102 | 2017 |
| 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 | 100 | 2015 |
| A new rail inspection method based on deep learning using laser cameras Y Santur, M Karaköse, E Akin 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 96 | 2017 |
| 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 | 94 | 2011 |
| Rough particle swarm optimization and its applications in data mining B Alatas, E Akin Soft Computing 12 (12), 1205-1218, 2008 | 94 | 2008 |
| Defect classification based on deep features for railway tracks in sustainable transportation I Aydin, E Akin, M Karakose Applied Soft Computing 111, 107706, 2021 | 93 | 2021 |
| Multi-objective rule mining using a chaotic particle swarm optimization algorithm B Alatas, E Akin Knowledge-Based Systems 22 (6), 455-460, 2009 | 90 | 2009 |
| 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 | 85 | 2014 |
| Random forest based diagnosis approach for rail fault inspection in railways Y Santur, M Karaköse, E Akin 2016 National Conference on Electrical, Electronics and Biomedical …, 2016 | 78 | 2016 |
| 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 | 76 | 2018 |
| Tools for detecting chaos A Özer, E Akın Sakarya University Journal of Science 9 (1), 60-66, 2005 | 76 | 2005 |
Mehmet KaraköseFirat University Computer Engineering DepartmentVerified email at firat.edu.tr
