Unveiling the SALSTM-M5T model and its python implementation for precise solar radiation prediction by Mohammad Ehteram, Hanieh Shabanian

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Bidirectional Long Short-Term Memory (BILSTM) - Support Vector Machine: A new machine learning model for predicting water quality parameters by Zahra Jamshidzadeh, Mohammad Ehteram, Hanieh Shabanian

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Monitoring Air Pollution Using Sentinel-5 Satellite Imagery: A Case Study of Razavi and South Khorasan Provinces by Fatemeh Kafi, Elham Yousefi, Mohammad Ehteram, Khosro Ashrafi

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A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model by Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, Hanieh Shabanian

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Gaussian mutation–orca predation algorithm–deep residual shrinkage network (DRSN)–temporal convolutional network (TCN)–random forest model: an advanced machine learning model for p... by Mohammad Ehteram, Mahdie Afshari Nia, Fatemeh Panahi, Hanieh Shabanian

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An advanced deep learning model for predicting water quality index by Mohammad Ehteram, Ali Najah Ahmed, Mohsen Sherif, Ahmed El-Shafie

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Solar radiation prediction using improved soft computing models for semi-arid, slightly-arid and humid climates by Hailong Huang, Shahab S. Band, Hojat Karami, Mohammad Ehteram, Kwok-wing Chau, Qian Zhang

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Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems by Nima Khodadadi, Mohammad Ehteram, Hojat Karami, Mohammad H. Nadimi-Shahraki, Laith Abualigah, Seyedali Mirjalili

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Accuracy Enhancement for Zone Mapping of a Solar Radiation Forecasting Based Multi-Objective Model for Better Management of the Generation of Renewable Energy by Mohammad Ehteram, Ali Najah Ahmed, Chow Ming Fai, Haitham Abdulmohsin Afan, Ahmed El-Shafie

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Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model by Sharareh Pourebrahim, Mohammad Ehteram, Mehrdad Hadipour, Ozgur Kisi, Ahmed El-Shafie, Ali Najah Ahmed, Jit Ern Chen

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Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models by Mahsa Gholami, Elham Ghanbari-Adivi, Mohammad Ehteram, Vijay P. Singh, Ali Najah Ahmed, Amir Mosavi, Ahmed El-Shafie

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An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers by Zahra Jamshidzadeh, Sarmad Dashti Latif, Mohammad Ehteram, Zohreh Sheikh Khozani, Ali Najah Ahmed, Mohsen Sherif, Ahmed El-Shafie

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Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models by Ommolbanin Bazrafshan, Mohammad Ehteram, Sarmad Dashti Latif, Yuk Feng Huang, Fang Yenn Teo, Ali Najah Ahmed, Ahmed El-Shafie

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Developing an ensembled machine learning model for predicting water quality index in Johor River Basin by L. M. Sidek, H. A. Mohiyaden, M. Marufuzzaman, N. S. M. Noh, Salim Heddam, Mohammad Ehteram, Ozgur Kisi, Saad Sh. Sammen

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Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions by Mohammad Ehteram, Samira Ghotbi, Ozgur Kisi, Ali Najah Ahmed, Gasim Hayder, Chow Ming Fai, Mathivanan Krishnan, Haitham Abdulmohsin Afan, Ahmed EL-Shafie

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Rainfall modeling using two different neural networks improved by metaheuristic algorithms by Saad Sh. Sammen, Ozgur Kisi, Mohammad Ehteram, Ahmed El-Shafie, Nadhir Al-Ansari, Mohammad Ali Ghorbani, Shakeel Ahmad Bhat, Ali Najah Ahmed, Shamsuddin Shahid

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Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation by Mohammad Ehteram, Fatemeh Panahi, Ali Najah Ahmed, Amir H. Mosavi, Amir H. Mosavi, Amir H. Mosavi, Amir H. Mosavi, Ahmed El-Shafie, Ahmed El-Shafie

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