| COVID-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020 | 569 | 2020 |
| State of the art of machine learning models in energy systems, a systematic review A Mosavi, M Salimi, S Faizollahzadeh Ardabili, T Rabczuk, ... Energies 12 (7), 1301, 2019 | 561 | 2019 |
| Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work F Fotovatikhah, M Herrera, S Shamshirband, K Chau, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 411-437, 2018 | 378 | 2018 |
| Advances in machine learning modeling reviewing hybrid and ensemble methods S Ardabili, A Mosavi, AR Várkonyi-Kóczy International conference on global research and education, 215-227, 2019 | 237 | 2019 |
| Comprehensive review of deep reinforcement learning methods and applications in economics A Mosavi, Y Faghan, P Ghamisi, P Duan, SF Ardabili, E Salwana, ... Mathematics 8 (10), 1640, 2020 | 233 | 2020 |
| Computational intelligence approach for modeling hydrogen production: A review S Faizollahzadeh Ardabili, B Najafi, S Shamshirband, B Minaei Bidgoli, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 438-458, 2018 | 233 | 2018 |
| Deep learning and machine learning in hydrological processes climate change and earth systems a systematic review S Ardabili, A Mosavi, M Dehghani, AR Várkonyi-Kóczy Engineering for Sustainable Future: Selected papers of the 18th …, 2020 | 191 | 2020 |
| Application of ANFIS, ANN, and logistic methods in estimating biogas production from spent mushroom compost (SMC) B Najafi, SF Ardabili Resources, Conservation and Recycling 133, 169-178, 2018 | 155 | 2018 |
| Application of ANNs, ANFIS and RSM to estimating and optimizing the parameters that affect the yield and cost of biodiesel production B Najafi, S Faizollahzadeh Ardabili, S Shamshirband, K Chau, T Rabczuk Engineering Applications of Computational Fluid Mechanics 12 (1), 611-624, 2018 | 149 | 2018 |
| Experimental and computational fluid dynamics-based numerical simulation of using natural gas in a dual-fueled diesel engine E Akbarian, B Najafi, M Jafari, S Faizollahzadeh Ardabili, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 517-534, 2018 | 147 | 2018 |
| State of the art survey of deep learning and machine learning models for smart cities and urban sustainability S Nosratabadi, A Mosavi, R Keivani, S Ardabili, F Aram International conference on global research and education, 228-238, 2019 | 135 | 2019 |
| List of deep learning models A Mosavi, S Ardabili, AR Varkonyi-Koczy International conference on global research and education, 202-214, 2019 | 133 | 2019 |
| Energy consumption prediction using machine learning; a review A Mosavi, A Bahmani, S Ardabili Preprints, 2019 | 127* | 2019 |
| Prediction of food production using machine learning algorithms of multilayer perceptron and ANFIS S Nosratabadi, S Ardabili, Z Lakner, C Mako, A Mosavi Agriculture 11 (5), 408, 2021 | 115 | 2021 |
| Review of soft computing models in design and control of rotating electrical machines A Dineva, A Mosavi, S Faizollahzadeh Ardabili, I Vajda, S Shamshirband, ... Energies 12 (6), 1049, 2019 | 107 | 2019 |
| An intelligent artificial neural network-response surface methodology method for accessing the optimum biodiesel and diesel fuel blending conditions in a diesel engine from the … B Najafi, S Faizollahzadeh Ardabili, A Mosavi, S Shamshirband, ... Energies 11 (4), 860, 2018 | 97 | 2018 |
| Modeling and simulation controlling system of HVAC using fuzzy and predictive (radial basis function, RBF) controllers S Faizollahzadeh Ardabili, A Mahmoudi, TM Gundoshmian Journal of Building Engineering 6, 301-308, 2016 | 91 | 2016 |
| Systematic review of deep learning and machine learning for building energy S Ardabili, L Abdolalizadeh, C Mako, B Torok, A Mosavi Frontiers in Energy Research 10, 786027, 2022 | 84 | 2022 |
| Training multilayer perceptron with genetic algorithms and particle swarm optimization for modeling stock price index prediction F Ecer, S Ardabili, SS Band, A Mosavi Entropy 22 (11), 1239, 2020 | 82 | 2020 |
| Systematic review of deep learning and machine learning models in biofuels research S Ardabili, A Mosavi, AR Várkonyi-Kóczy International Conference on Global Research and Education, 19-32, 2019 | 81 | 2019 |
Amir MosaviObuda UniversityVerificeret mail på uni-obuda.hu