Theo dơi
Meysam Alizamir
Meysam Alizamir
PhD, Civil engineering department
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Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network
P Taherei Ghazvinei, H Hassanpour Darvishi, A Mosavi, KW Yusof, ...
Engineering Applications of Computational Fluid Mechanics 12 (1), 738-749, 2018
Extreme learning machine for prediction of heat load in district heating systems
S Sajjadi, S Shamshirband, M Alizamir, L Yee, Z Mansor, AA Manaf, ...
Energy and Buildings 122, 222-227, 2016
Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: wavelet extreme learning machine vs wavelet neural networks
O Kisi, M Alizamir
Agricultural and Forest Meteorology 263, 41-48, 2018
A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions
M Alizamir, S Kim, O Kisi, M Zounemat-Kermani
Energy 197, 117239, 2020
Economic growth forecasting by artificial neural network with extreme learning machine based on trade, import and export parameters
S Sokolov-Mladenović, M Milovančević, I Mladenović, M Alizamir
Computers in Human Behavior 65, 43-45, 2016
Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies
M Alizamir, O Kisi, R Muhammad Adnan, A Kuriqi
Acta Geophysica 68, 1113-1126, 2020
Dissolved oxygen prediction using a new ensemble method
O Kisi, M Alizamir, ARD Gorgij
Environmental Science and Pollution Research, 1-15, 2020
Advanced machine learning model for better prediction accuracy of soil temperature at different depths
M Alizamir, O Kisi, AN Ahmed, C Mert, CM Fai, S Kim, NW Kim, ...
Plos one 15 (4), e0231055, 2020
Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data
M Alizamir, O Kisi, M Zounemat-Kermani
Hydrological sciences journal 63 (1), 63-73, 2018
Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data
O Kisi, M Alizamir, M Zounemat-Kermani
Natural Hazards 87 (1), 367-381, 2017
Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction
M Ehteram, AN Ahmed, SD Latif, YF Huang, M Alizamir, O Kisi, C Mert, ...
Environmental Science and Pollution Research 28 (2), 1596-1611, 2021
On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico
M Zounemat-Kermani, A Mahdavi-Meymand, M Alizamir, S Adarsh, ...
Journal of hydrology 585, 124759, 2020
Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea
S Kim, M Alizamir, M Zounemat-Kermani, O Kisi, VP Singh
Journal of Environmental Management 270, 110834, 2020
On the implementation of a novel data-intelligence model based on extreme learning machine optimized by bat algorithm for estimating daily chlorophyll-a concentration: case …
M Alizamir, S Heddam, S Kim, AD Mehr
Journal of Cleaner Production 285, 124868, 2021
Forecasting accident frequency of an urban road network: A comparison of four artificial neural network techniques
H Behbahani, AM Amiri, R Imaninasab, M Alizamir
Journal of Forecasting 37 (7), 767-780, 2018
Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model
M Alizamir, S Kim, M Zounemat-Kermani, S Heddam, AH Shahrabadi, ...
Artificial Intelligence Review, 1-28, 2020
Deep echo state network: a novel machine learning approach to model dew point temperature using meteorological variables
M Alizamir, S Kim, O Kisi, M Zounemat-Kermani
Hydrological Sciences Journal 65 (7), 1173-1190, 2020
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with …
M Alizamir, J Shiri, AF Fard, S Kim, ARD Gorgij, S Heddam, VP Singh
Engineering Applications of Artificial Intelligence 123, 106199, 2023
Solar radiation estimation in Mediterranean climate by weather variables using a novel Bayesian model averaging and machine learning methods
O Kisi, M Alizamir, S Trajkovic, J Shiri, S Kim
Neural Processing Letters 52 (3), 2297-2318, 2020
Using SVM-RSM and ELM-RSM approaches for optimizing the production process of methyl and ethyl esters
S Faizollahzadeh Ardabili, B Najafi, M Alizamir, A Mosavi, ...
Energies 11 (11), 2889, 2018
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