| Estimation of optimum tuned mass damper parameters via machine learning M Yucel, G Bekdaş, SM Nigdeli, S Sevgen Journal of Building Engineering 26, 100847, 2019 | 116 | 2019 |
| Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects MS Ali, G Narayanan, S Sevgen, V Shekher, S Arik Communications in Nonlinear Science and Numerical Simulation 78, 104853, 2019 | 86 | 2019 |
| A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field S Singh, AI Kanli, S Sevgen Studia Geophysica et Geodaetica 60, 130-140, 2016 | 69 | 2016 |
| New stability results for Takagi–Sugeno fuzzy Cohen–Grossberg neural networks with multiple delays S Sevgen Neural Networks 114, 60-66, 2019 | 34 | 2019 |
| Applying artificial neural networks for the estimation of chlorophyll-a concentrations along the Istanbul coast. R Samli, N Sivri, S Sevgen, VZ Kiremitci Polish Journal of Environmental Studies 23 (4), 2014 | 22 | 2014 |
| A study on the hydrogen consumption calculation of proton exchange membrane fuel cells for linearly increasing loads: Artificial Neural Networks vs Multiple Linear Regression Y Özçelep, S Sevgen, R Samli Renewable energy 156, 570-578, 2020 | 21 | 2020 |
| Detecting and counting people using real-time directional algorithms implemented by compute unified device architecture YP Kocak, S Sevgen Neurocomputing 248, 105-111, 2017 | 16 | 2017 |
| Estimation of quality parameters in virgin olive oil treated with olive leaf extract: application of artificial neural networks S Şahin, S Sevgen, R Samli Chemical Papers 73, 1189-1197, 2019 | 14 | 2019 |
| Estimating of analysis results for structures with linear base isolation systems using artificial neural network model M Yucel, S Öncü-Davas, SM Nigdeli, G Bekdas, S Sevgen International Journal of Control Systems and Robotics 3, 2018 | 13 | 2018 |
| Microwave-assisted extraction of bioactive components from peach waste: Describing the bioactivity degradation by polynomial regression E Kurtulbaş, S Sevgen, R Samli, S Şahin Biomass Conversion and Biorefinery, 1-11, 2022 | 11 | 2022 |
| Artificial neural network model for optimum design of tubular columns M Yucel, G Bekdas, SM Nigdeli, S Sevgen International Journal of Theoretical and Applied Mechanics 3, 82-86, 2018 | 10 | 2018 |
| A tablet game or training booklet? Two methods for evaluating symptom management and quality-of-life of children receiving chemotherapy GK Yildiz, S Yildiz, MA Yoruk, S Sevgen European Journal of Oncology Nursing 61, 102190, 2022 | 7 | 2022 |
| Modelling the effects of nanomaterial addition on the permeability of the compacted clay soil using machine learning-based flow resistance analysis MŞ Özçoban, ME Isenkul, S Sevgen, S Acarer, M Tüfekci Applied Sciences 12 (1), 186, 2021 | 7 | 2021 |
| Measuring software complexity using neural networks S Senan, S Sevgen IU-Journal of Electrical & Electronics Engineering 17 (2), 3503-3508, 2017 | 6 | 2017 |
| Implementation of a CNN based object counting algorithm on bi-i cellular vision system S Sevgen, F Karabiber, E Yucel, S Arik 2009 International Conference on Electrical and Electronics Engineering …, 2009 | 6 | 2009 |
| GPU programlama tekniği ile yüksek performanslı araç takibi Y POYRAZ, S SEVGEN Bilişim Teknolojileri Dergisi 10 (3), 255-261, 2017 | 5 | 2017 |
| Solving sudoku puzzle with numbers recognized by using artificial neural networks S Sevgen, E Arslan, R Samli IU-Journal of Electrical & Electronics Engineering 17 (1), 3239-3247, 2017 | 5 | 2017 |
| On-chip template training system and image processing applications using iterative annealing on ACE16k chip S Sevgen, S Arik Expert Systems with Applications 38 (10), 12900-12905, 2011 | 5 | 2011 |
| Cellular neural networks template training system using iterative annealing optimization technique on ace16k chip S Sevgen, E Yucel, S Arik Neural Information Processing: 16th International Conference, ICONIP 2009 …, 2009 | 5 | 2009 |
| Simulation of experimental parameters of RC beams by employing the polynomial regression method B Sayin, S Sevgen, R Samli Mechanics of Composite Materials 52, 379-388, 2016 | 3 | 2016 |
