Amir Mosavi

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Kwok Wing ChauProfessor of Civil & Hydraulic Engineering, Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Timon RabczukBauhaus University WeimarVerified email at uni-weimar.de
Abbas S. MilaniProfessor of Mechanical Engineering, UBC, CRN, MMRIVerified email at ubc.ca
Joseph Handibry Mbatu TahPro Vice-Chancellor/Dean and Professor of Project Management, Oxford BrookesVerified email at brookes.ac.uk
Assefa M. MelesseProfessor of Water Resources Engineering, Florida International UniversityVerified email at fiu.edu
Ester Higueras GarcíaProfessor Universidad Politécnica de Madrid, SpainVerified email at upm.es
Vijay P. SinghTexas A&M UniversityVerified email at ag.tamu.edu
Richard GloaguenHead department Exploration Technology, Helmholtz-Zentrum Dresden-RossendorfVerified email at hzdr.de
Jan Franklin AdamowskiProfessor of Bioresource Engineering, Faculty of Agricultural and Environmental Sciences, McGillVerified email at mcgill.ca
Peter M AtkinsonDistinguished Professor and Executive Dean, Faculty of Science and Technology, Lancaster UniversityVerified email at lancaster.ac.uk
Kasun HewageProfessor, Civil Engineering (Construction Management), The University of British Columbia, CanadaVerified email at ubc.ca
Xavier QuerolResearch Professor at CSIC, IDAEA, Spanish Research CouncilVerified email at idaea.csic.es
Ramin M-KeivaniProfessor of International land policy and urban development, Oxford Brookes UniversityVerified email at brookes.ac.uk
Sancho Salcedo-SanzCatedrático de Universidad (Full Professor), Universidad de AlcaláVerified email at uah.es
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Ozgur KisiDepartment of Civil Engineering, University of Applied Sciences, Lübeck, GermanyVerified email at th-luebeck.de
John J ClagueProfessor Emeritus, Department of Earth Science, Simon Fraser UniversityVerified email at sfu.ca
Hojjat AdeliThe Ohio State UniversityVerified email at osu.edu
Michal KvasnicaAssociate Professor at Slovak University of Technology in BratislavaVerified email at stuba.sk
Istvan VajdaUniversity of ObudaVerified email at uni-obuda.hu

Amir Mosavi

Dresden University of Technology, Oxford Brookes, Obuda University

Verified email at uni-obuda.hu - Homepage

Computer Science Data Science Artificial Intelligence Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Flood Prediction Using Machine Learning Models: Literature Review A Mosavi, P Ozturk, K Chau Water, 2018	521	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	325	2019
Covid-19 outbreak prediction with machine learning SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ... Algorithms 13 (10), 249, 2020	296	2020
Sustainable Business Models: A Review S Nosratabadi, A Mosavi, S Shamshirband, E Kazimieras Zavadskas, ... Sustainability 11, 1663, 2019	221	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	212	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	198	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	158	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	150	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	130	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	129	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	128	2020
List of Deep Learning Models A Mosavi, SF Ardabili, AR Várkonyi-Kóczy Preprints, 2019	120*	2019
Deep learning for stock market prediction M Nabipour, P Nayyeri, H Jabani, A Mosavi, E Salwana Entropy 22 (8), 840, 2020	107	2020
Deep learning for detecting building defects using convolutional neural networks H Perez, JHM Tah, A Mosavi Sensors 19 (16), 3556, 2019	105	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	98	2020
Deep learning: a review R Vargas, A Mosavi, R Ruiz	97	2017
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	93	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	88	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	84	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	83	2019

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