Majid Mirzaei

Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches

Adnan Dehghani, Hamza Mohammad Zakir Hiyat Moazam, Fatemehsadat Mortazavizadeh et al. · Ecological Informatics · 2023 · 132 citations

Deep Learning Approaches, Convolutional Neural Network, Engineering +8

Improved SVR machine learning models for agricultural drought prediction at downstream of Langat River Basin, Malaysia

Kit Fai Fung, Yuk Feng Huang, Chai Hoon Koo et al. · Journal of Water and Climate Change · 2019 · 69 citations

Hydrological Prediction, Engineering, Agricultural Economics +19

Klang River–Level Forecasting Using ARIMA and ANFIS Models

Hadi Galavi, Majid Mirzaei, Lee Teang Shul et al. · American Water Works Association · 2013 · 51 citations

Forecasting Methodology, Hydrological Prediction, Engineering +17

Drought Forecasting Using SPI and EDI under RCP-8.5 Climate Change Scenarios for Langat River Basin, Malaysia

Yuk Feng Huang, Jong Tat Ang, Yong Jie Tiong et al. · Procedia Engineering · 2016 · 49 citations · Full text

Climatology, Malaysia Drought Events, Engineering +14

A Novel Stacked Long Short-Term Memory Approach of Deep Learning for Streamflow Simulation

Majid Mirzaei, Haoxuan Yu, Adnan Dehghani et al. · Sustainability · 2021 · 47 citations · Full text

Hydrological Prediction, Engineering, Machine Learning +25