| Determination of theoretical fracture criteria of layered elastic composite material by ANFIS method from artificial intelligence A Çilli, M Beken, N Kurt International Journal of Computational and Experimental Science and …, 2022 | 31 | 2022 |
| Classification of turkey among european countries by years in terms of energy efficiency, total renewable energy, energy consumption, greenhouse gas emission and energy import … M Beken, B Hangun, O Eyecioglu 2019 8th International Conference on Renewable Energy Research and …, 2019 | 24 | 2019 |
| Comparison of mechanical properties and artificial neural networks modeling of PP/PET blends Y Özcanli, F Kosovali Çavuş, M Beken Acta physica polonica A 130 (1), 444-446, 2016 | 22 | 2016 |
| Forecasting the stability of a 4-node architecture smart grid using machine learning B Hangun, O Eyecioglu, M Beken 2022 10th International Conference on Smart Grid (icSmartGrid), 440-442, 2022 | 10 | 2022 |
| Investigating the energy production trends of countries and its relationship between economic development B Hangun, O Eyecioglu, M Beken 2022 11th International Conference on Renewable Energy Research and …, 2022 | 8 | 2022 |
| The effect of PET additive on mechanical and morphological properties of PP F Kosovalı Çavuş, Y Özcanlı, M Beken Journal of the Faculty of Engineering and Architecture of Gazi University 34, 2019 | 8 | 2019 |
| Artificial neural network modelling of the mechanical properties of nanocomposite polypropylene-nanoclay Y Özcanli, M Beken, FK Çavuş, AA Hadiyeva, AR Sadigova, VA Alekperov Journal of Nanoelectronics and Optoelectronics 12 (4), 316-320, 2017 | 8 | 2017 |
| Estimation of gas emission values on highways in Turkey with machine learning N Kurt, O Ozturk, M Beken 2021 10th international conference on renewable energy research and …, 2021 | 7 | 2021 |
| ARTIFICIAL NEURAL NETWORK PREDICTION FOR THERMAL DECOMPOSITION OF POTASSIUM NITRATE (KNO3) AND BENZOIC ACID (C6H5COOH) M Beken Modern Physics Letters B 24 (17), 1855-1868, 2010 | 5 | 2010 |
| The neural network and multivariate linear regression approach for observing phase transitions of polymers with the differential thermal analysis method M Beken Journal of thermal analysis and calorimetry 101 (1), 339-347, 2010 | 5 | 2010 |
| Prediction of Oil Consumption and Oil Access of Countries in The European Union Region with Machine Learning M Beken, O Eyecioglu, N Kurt International Journal of Smart Grid-ijSmartGrid 6 (3), 79-83, 2022 | 3 | 2022 |
| Effect of Boric Acid Doped Pedot: PSS Layer on the Photovoltaic Parameters of P3HT: PCBM Based PV Cell O Eyecioglu, M Beken, O Yagcı, O Icelli 2018 7th International Conference on Renewable Energy Research and …, 2018 | 3 | 2018 |
| Climate Control System For Cold Storage Depots M Beken, HM Günhan, E Akbulut, T Çapraz International Journal of Engineering Science and Application 1 (2), 42-45, 2017 | 3 | 2017 |
| The ANFIS as a prediction method of efficiency of PV cells M Beken, K Kayisli, O Eyecioglu, O Yagcı, O Icelli 2018 7th International Conference on Renewable Energy Research and …, 2018 | 2 | 2018 |
| Yüksek basınç altında çalışan diferansiyel termal analiz cihazının geliştirilmesi M Beken Fen Bilimleri Enstitüsü, 2002 | 2 | 2002 |
| Electricity Consumption Forecast using Machine Learning Regression Models in Turkey Ü Şentürk, M Beken, Ö Eyecıoğlu 2022 11th International Conference on Renewable Energy Research and …, 2022 | 1 | 2022 |
| PET katkısının PP’nin mekanik ve morfolojik özelliklerine etkisi FK Çavuş, Y Özcanlı, M Beken Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34 (1), 319-326, 2019 | 1 | 2019 |
| An Sem Study of Pp/Pet Blends FK Çavuş, M Beken, Y Özcanlı Journal of Engineering Technology and Applied Sciences 1 (3), 127-131, 2016 | 1 | 2016 |
| Bilgisayar destekli diferansiyel temel analiz gereci ile bazı organik bileşiklerin katı sıvı gaz geçişlerinin incelenmesi M Beken Kocaeli Üniversitesi, Fen Bilimleri Enstitüsü, 1996 | 1 | 1996 |
| Strain Energy Prediction of Single Wall Carbon Nanotubes Using General Regression Neural Network and Adaptive Neuro–Fuzzy Inference System O Eyecioglu, K Kayisli, M Beken Electric Power Components and Systems 52 (8), 1437-1447, 2024 | | 2024 |
