| A comparative study on diabetes disease diagnosis using neural networks H Temurtas, N Yumusak, F Temurtas Expert Systems with applications 36 (4), 8610-8615, 2009 | 422 | 2009 |
| Chest diseases diagnosis using artificial neural networks O Er, N Yumusak, F Temurtas Expert Systems with Applications 37 (12), 7648-7655, 2010 | 272 | 2010 |
| Tuberculosis disease diagnosis using artificial neural network trained with genetic algorithm E Elveren, N Yumuşak Journal of medical systems 35, 329-332, 2011 | 149 | 2011 |
| Year ahead demand forecast of city natural gas using seasonal time series methods M Akpinar, N Yumusak Energies 9 (9), 727, 2016 | 111 | 2016 |
| Classification of E-nose aroma data of four fruit types by ABC-based neural network MF Adak, N Yumusak Sensors 16 (3), 304, 2016 | 77 | 2016 |
| Harmonic detection using feed forward and recurrent neural networks for active filters F Temurtas, R Gunturkun, N Yumusak, H Temurtas Electric power systems research 72 (1), 33-40, 2004 | 77 | 2004 |
| Ensemble of SVMs for incremental learning Z Erdem, R Polikar, F Gurgen, N Yumusak International Workshop on Multiple Classifier Systems, 246-256, 2005 | 63 | 2005 |
| Lecture notes in computer science F Temurtaş, N Yumuşak SPRINGER-VERLAG BERLIN, 2004 | 59 | 2004 |
| A new method of automatic recognition for tuberculosis disease diagnosis using support vector machines OE Amani Yahiaoui, N Yumusak Biomed Res 28, 4208-12, 2017 | 58 | 2017 |
| Forecasting household natural gas consumption with ARIMA model: A case study of removing cycle M Akpinar, N Yumusak 2013 7th international conference on application of information and …, 2013 | 58 | 2013 |
| Diagnosis of chest diseases using artificial immune system O Er, N Yumusak, F Temurtas Expert Systems with Applications 39 (2), 1862-1868, 2012 | 55 | 2012 |
| Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network MF Adak, P Lieberzeit, P Jarujamrus, N Yumusak Engineering Science and Technology, an International Journal 23 (3), 463-469, 2020 | 50 | 2020 |
| Day-ahead natural gas demand forecasting using optimized ABC-based neural network with sliding window technique: The case study of regional basis in Turkey M Akpinar, MF Adak, N Yumusak Energies 10 (6), 781, 2017 | 49 | 2017 |
| Lecture Notes in Computer Science N Yumuşak SPRINGER-VERLAG BERLIN, 2005 | 39 | 2005 |
| Impact of small-world topology on the performance of a feed-forward artificial neural network based on 2 different real-life problems O Erkaymaz, M Özer, N Yumuşak Turkish Journal of Electrical Engineering and Computer Sciences 22 (3), 708-718, 2014 | 38 | 2014 |
| Naive forecasting of household natural gas consumption with sliding window approach M Akpinar, N Yumuşak Turkish Journal of Electrical Engineering and Computer Sciences 25 (1), 30-45, 2017 | 34 | 2017 |
| Estimating household natural gas consumption with multiple regression: Effect of cycle M Akpinar, N Yumusak 2013 International Conference on Electronics, Computer and Computation …, 2013 | 29 | 2013 |
| A study on neural networks using taylor series expansion of sigmoid activation function F Temurtas, A Gulbag, N Yumusak International Conference on Computational Science and Its Applications, 389-397, 2004 | 28 | 2004 |
| Day-ahead natural gas forecasting using nonseasonal exponential smoothing methods M Akpinar, N Yumusak 2017 IEEE International Conference on Environment and Electrical Engineering …, 2017 | 27 | 2017 |
| Fuzzy logic and neural network applications on the gas sensor data: concentration estimation F Temurtas, C Tasaltin, H Temurtas, N Yumusak, ZZ Ozturk Computer and Information Sciences-ISCIS 2003: 18th International Symposium …, 2003 | 27 | 2003 |
Feyzullah TEMURTASElec. and Electronics Eng., Faculty of Engineering and Nat. Sci, Bandırma Onyedi Eylül UniversityPatvirtintas el. paštas bandirma.edu.tr