Ensemble boosting and bagging based machine learning models for groundwater potential prediction A Mosavi, F Sajedi Hosseini, B Choubin, M Goodarzi, AA Dineva, ... Water Resources Management 35, 23-37, 2021 | 198 | 2021 |
Susceptibility mapping of soil water erosion using machine learning models A Mosavi, F Sajedi-Hosseini, B Choubin, F Taromideh, G Rahi, AA Dineva Water 12 (7), 1995, 2020 | 132 | 2020 |
Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins A Mosavi, M Golshan, S Janizadeh, B Choubin, AM Melesse, AA Dineva Geocarto International 37 (9), 2541-2560, 2022 | 106 | 2022 |
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 | 104 | 2019 |
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential Y Chen, W Chen, S Chandra Pal, A Saha, I Chowdhuri, B Adeli, ... Geocarto International 37 (19), 5564-5584, 2022 | 102 | 2022 |
Susceptibility prediction of groundwater hardness using ensemble machine learning models A Mosavi, FS Hosseini, B Choubin, M Abdolshahnejad, H Gharechaee, ... Water 12 (10), 2770, 2020 | 71 | 2020 |
Groundwater salinity susceptibility mapping using classifier ensemble and Bayesian machine learning models A Mosavi, FS Hosseini, B Choubin, M Goodarzi, AA Dineva Ieee Access 8, 145564-145576, 2020 | 62 | 2020 |
Susceptibility mapping of groundwater salinity using machine learning models A Mosavi, F Sajedi Hosseini, B Choubin, F Taromideh, M Ghodsi, ... Environmental Science and Pollution Research 28, 10804-10817, 2021 | 61 | 2021 |
Fault diagnosis of rotating electrical machines using multi-label classification A Dineva, A Mosavi, M Gyimesi, I Vajda, N Nabipour, T Rabczuk Applied Sciences 9 (23), 5086, 2019 | 61 | 2019 |
Towards an ensemble machine learning model of random subspace based functional tree classifier for snow avalanche susceptibility mapping A Mosavi, A Shirzadi, B Choubin, F Taromideh, FS Hosseini, M Borji, ... IEEE Access 8, 145968-145983, 2020 | 60 | 2020 |
Comparative analysis of machine learning models for prediction of remaining service life of flexible pavement N Nabipour, N Karballaeezadeh, A Dineva, A Mosavi, ... Mathematics 7 (12), 1198, 2019 | 56 | 2019 |
Mass wasting susceptibility assessment of snow avalanches using machine learning models B Choubin, M Borji, FS Hosseini, A Mosavi, AA Dineva Scientific reports 10 (1), 18363, 2020 | 54 | 2020 |
Novel generation of Fixed Point Transformation for the adaptive control of a nonlinear neuron model A Dineva, JK Tar, A Várkonyi-Kóczy 2015 IEEE International Conference on Systems, Man, and Cybernetics, 987-992, 2015 | 44 | 2015 |
Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds A Mosavi, M Golshan, B Choubin, AD Ziegler, SK Sigaroodi, F Zhang, ... Scientific Reports 11 (1), 8243, 2021 | 42 | 2021 |
Investigation of the performance of direct forecasting strategy using machine learning in State-of-Charge prediction of Li-ion batteries exposed to dynamic loads A Dineva, B Csomós, SK Sz, I Vajda Journal of Energy Storage 36, 102351, 2021 | 38 | 2021 |
Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression A Dineva, AR Várkonyi-Kóczy, JK Tar IEEE 18th International Conference on Intelligent Engineering Systems INES …, 2014 | 31 | 2014 |
Determination of critical deformation regions of a lithium polymer battery by dic measurement and wowa filter SK Szürke, A Dineva, S Szalai, I Lakatos Acta Polytech. Hung 19, 113-134, 2022 | 29 | 2022 |
Adaptive control of underactuated mechanical systems using improved" Sigmoid Generated Fixed Point Transformation" and scheduling strategy A Dineva, JK Tar, A Várkonyi-Kóczy, V Piuri 2016 IEEE 14th International Symposium on Applied Machine Intelligence and …, 2016 | 20 | 2016 |
Non-conventional data representation and control AA Dineva Università degli Studi di Milano, 2017 | 16 | 2017 |
Adaptive Savitzky-Golay filtering and its applications J Dombi, A Dineva International Journal of Advanced Intelligence Paradigms 16 (2), 145-156, 2020 | 15 | 2020 |