| Predictive modeling of biomass gasification with machine learning-based regression methods F Elmaz, Ö Yücel, AY Mutlu Energy 191, 116541, 2020 | 174 | 2020 |
| An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification AY Mutlu, O Yucel Energy 165, 895-901, 2018 | 113 | 2018 |
| Numerical and experimental investigation of hydrogen-rich syngas production via biomass gasification ES Aydin, O Yucel, H Sadikoglu International Journal of Hydrogen Energy 43 (2), 1105-1115, 2018 | 85 | 2018 |
| Experimental study on hydrogen-rich syngas production via gasification of pine cone particles and wood pellets in a fixed bed downdraft gasifier ES Aydin, O Yucel, H Sadikoglu International Journal of Hydrogen Energy 44 (32), 17389-17396, 2019 | 75 | 2019 |
| Kinetic modeling and simulation of throated downdraft gasifier O Yucel, MA Hastaoglu Fuel Processing Technology 144, 145-154, 2016 | 72 | 2016 |
| Development of a semi-empirical equilibrium model for downdraft gasification systems ES Aydin, O Yucel, H Sadikoglu Energy 130, 86-98, 2017 | 60 | 2017 |
| Comparison of the different artificial neural networks in prediction of biomass gasification products O Yucel, ES Aydin, H Sadikoglu International Journal of Energy Research 43 (11), 5992-6003, 2019 | 46 | 2019 |
| A comparison of machine learning algorithms for estimation of higher heating values of biomass and fossil fuels from ultimate analysis H Yaka, MA Insel, O Yucel, H Sadikoglu Fuel 320, 123971, 2022 | 36 | 2022 |
| Classification of solid fuels with machine learning F Elmaz, B Büyükçakır, Ö Yücel, AY Mutlu Fuel 266, 117066, 2020 | 36 | 2020 |
| Data-driven identification and model predictive control of biomass gasification process for maximum energy production F Elmaz, Ö Yücel Energy 195, 117037, 2020 | 33 | 2020 |
| Evaluating the Effect of Blending Ratio on the Co-Gasification of High Ash Coal and Biomass in a Fluidized Bed Gasifier Using Machine Learning F Elmaz, Ö Yücel, AY Mutlu Mugla Journal of Science and Technology 5 (1), 1-12, 2019 | 19 | 2019 |
| Simulation and control of serviceable stratospheric balloons traversing a region via transport phenomena and PID Ö Kayhan, Ö Yücel, MA Hastaoğlu Aerospace Science and Technology 53, 232-240, 2016 | 16 | 2016 |
| Critical review of emulsion stability and characterization techniques in oil processing V Angardi, A Ettehadi, Ö Yücel Journal of Energy Resources Technology 144 (4), 040801, 2022 | 15 | 2022 |
| Numerical investigation of fixed-bed downdraft woody biomass gasification ES Aydin, O Yucel, H Sadikoglu Exergetic, Energetic and Environmental Dimensions, 323-339, 2018 | 14 | 2018 |
| Modelling and simulation of a moving interface problem: freeze drying of black tea extract ES Aydin, O Yucel, H Sadikoglu Heat and Mass Transfer 53, 2143-2154, 2017 | 14 | 2017 |
| Comprehensive study of steam reforming of methane in membrane reactors Ö Yücel, MA Hastaoglu Journal of Energy Resources Technology 138 (5), 052204, 2016 | 11 | 2016 |
| Machine learning based approach for predicting of higher heating values of solid fuels using proximity and ultimate analysis F ELMAZ, Ö YÜCEL, AY MUTLU International Journal of Advances in Engineering and Pure Sciences 32 (1 …, 2020 | 7 | 2020 |
| Predictive Modeling of the Syngas Production from Methane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches F ELMAZ, Ö YÜCEL, AY MUTLU International Journal of Advances in Engineering and Pure Sciences 32 (1), 8-14, 2020 | 7 | 2020 |
| Prediction of proximate analysis and process temperature of torrefied and pyrolyzed wood pellets by near-infrared spectroscopy coupled with machine learning MK ÇALIK, ES AYDIN, Ö YÜCEL Mugla Journal of Science and Technology 6 (2), 99-110, 2020 | 4 | 2020 |
| An intelligent based prediction of microbial behaviour in beef Ö Yücel, F Tarlak Food Control 148, 109665, 2023 | 3 | 2023 |
Prof. Dr. Hasan SADIKOGLUKimya Mühendisliği, YILDIZ TEKNIK ÜNİVERSİTESİ在 yildiz.edu.tr 的电子邮件经过验证
