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Erhan Akin
Erhan Akin
Professor of Computer Engineering, Firat University
在 firat.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Chaos embedded particle swarm optimization algorithms
B Alatas, E Akin, AB Ozer
Chaos, Solitons & Fractals 40 (4), 1715-1734, 2009
6362009
Estimating driving behavior by a smartphone
H Eren, S Makinist, E Akin, A Yilmaz
2012 IEEE Intelligent Vehicles Symposium, 234-239, 2012
3932012
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
3282016
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
2812011
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
2652008
An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules
B Alataş, E Akin
Soft Computing 10, 230-237, 2006
1372006
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
1102016
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
1032010
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
1002017
Multi-objective rule mining using a chaotic particle swarm optimization algorithm
B Alatas, E Akin
Knowledge-Based Systems 22 (6), 455-460, 2009
922009
Rough particle swarm optimization and its applications in data mining
B Alatas, E Akin
Soft Computing 12, 1205-1218, 2008
922008
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
882011
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
832015
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
752014
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
742017
Machine vision based defect detection approach using image processing
M Baygin, M Karakose, A Sarimaden, A Erhan
2017 international artificial intelligence and data processing symposium …, 2017
722017
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
722016
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
652013
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, 839-856, 2018
612018
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, 717-729, 2015
612015
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