Amir Mosavi
Amir Mosavi
Dresden University of Technology, Oxford Brookes, Obuda University
Verified email at - Homepage
Cited by
Cited by
Flood Prediction Using Machine Learning Models: Literature Review
A Mosavi, P Ozturk, K Chau
Water, 2018
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
B Choubin, E Moradi, M Golshan, J Adamowski, F Sajedi-Hosseini, ...
Science of the Total Environment 651, 2087-2096, 2019
Covid-19 outbreak prediction with machine learning
SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ...
Algorithms 13 (10), 249, 2020
Sustainable Business Models: A Review
S Nosratabadi, A Mosavi, S Shamshirband, E Kazimieras Zavadskas, ...
Sustainability 11, 1663, 2019
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
COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach
G Pinter, I Felde, A Mosavi, P Ghamisi, R Gloaguen
Mathematics 8 (6), 890, 2020
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
S Shamshirband, E Jafari Nodoushan, JE Adolf, A Abdul Manaf, A Mosavi, ...
Engineering Applications of Computational Fluid Mechanics 13 (1), 91-101, 2019
A novel image encryption based on hash function with only two-round diffusion process
B Norouzi, SM Seyedzadeh, S Mirzakuchaki, A Mosavi
Multimedia systems 20 (1), 45-64, 2014
Predicting standardized streamflow index for hydrological drought using machine learning models
S Shamshirband, S Hashemi, H Salimi, S Samadianfard, E Asadi, ...
Engineering Applications of Computational Fluid Mechanics 14 (1), 339-350, 2020
Prediction of hydropower generation using grey wolf optimization adaptive neuro-fuzzy inference system
M Dehghani, H Riahi-Madvar, F Hooshyaripor, A Mosavi, ...
Energies 12 (2), 289, 2019
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: application of the simulated annealing feature selection method
FS Hosseini, B Choubin, A Mosavi, N Nabipour, S Shamshirband, ...
Science of the total environment 711, 135161, 2020
List of Deep Learning Models
A Mosavi, SF Ardabili, AR Várkonyi-Kóczy
Preprints, 2019
Deep learning for stock market prediction
M Nabipour, P Nayyeri, H Jabani, A Mosavi, E Salwana
Entropy 22 (8), 840, 2020
Deep learning for detecting building defects using convolutional neural networks
H Perez, JHM Tah, A Mosavi
Sensors 19 (16), 3556, 2019
Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
E Dodangeh, B Choubin, AN Eigdir, N Nabipour, M Panahi, ...
Science of the Total Environment 705, 135983, 2020
Deep learning: a review
R Vargas, A Mosavi, R Ruiz
Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning
A Mosavi, S Shamshirband, E Salwana, K Chau, JHM Tah
Engineering Applications of Computational Fluid Mechanics 13 (1), 482-492, 2019
Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain
B Choubin, M Abdolshahnejad, E Moradi, X Querol, A Mosavi, ...
Science of The Total Environment 701, 134474, 2020
Snow avalanche hazard prediction using machine learning methods
B Choubin, M Borji, A Mosavi, F Sajedi-Hosseini, VP Singh, ...
Journal of Hydrology 577, 123929, 2019
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
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