A
Ahmed Elbeltagi
Researcher at Mansoura University
Publications - 127
Citations - 1614
Ahmed Elbeltagi is an academic researcher from Mansoura University. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 8, co-authored 40 publications receiving 213 citations. Previous affiliations of Ahmed Elbeltagi include Zhejiang University.
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Journal ArticleDOI
Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms
Ali Mokhtar,Mohammadnabi Jalali,Hongming He,Nadhir Al-Ansari,Ahmed Elbeltagi,Karam Alsafadi,Hazem Ghassan Abdo,Saad Sh. Sammen,Yeboah Gyasi-Agyei,Jesús Rodrigo-Comino +9 more
TL;DR: In this paper, a combination of machine learning with the Standardized Precipitation Evapotranspiration Index (SPEI) is proposed for analysis of drought within a representative case study in the Tibetan Plateau, China, for the period of 1980-2019.
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Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment
TL;DR: In this article, a deep neural network (DNN) was employed for incorporating historical data and predicting future crop evapotranspiration (ETc) values to eliminate the limitations mentioned, and analyze the long-term dynamics of ETc based on limited climate data and simple method.
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The impact of climate changes on the water footprint of wheat and maize production in the Nile Delta, Egypt.
Ahmed Elbeltagi,Ahmed Elbeltagi,Muhammad Rizwan Aslam,Anurag Malik,Behrouz Mehdinejadiani,Ankur Srivastava,Amandeep Singh Bhatia,Jinsong Deng +7 more
TL;DR: The findings showed that determination-coefficient between historical-predicted crop evapotranspiration (ETc) varied from 0.92 to 0.97 for two crops, which will help in optimal planning of future water under climate change in the agricultural sector.
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Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models
Saber Kouadri,Chaitanya B. Pande,Balamurugan Panneerselvam,Kanak N. Moharir,Ahmed Elbeltagi,Ahmed Elbeltagi +5 more
TL;DR: In this paper, three machine learning models, viz. long short-term memory (LSTM), multi-linear regression (MLR), and artificial neural network (ANN), have been trained.
Journal ArticleDOI
Prediction of Combined Terrestrial Evapotranspiration Index (CTEI) over Large River Basin Based on Machine Learning Approaches
Ahmed Elbeltagi,Nikul Kumari,Jaydeo K. Dharpure,Ali Mokhtar,Karam Alsafadi,Manish Kumar,Behrouz Mehdinejadiani,Hadi Ramezani Etedali,Youssef Brouziyne,Abu Reza Md. Towfiqul Islam,Alban Kuriqi +10 more
TL;DR: In this article, five Machine Learning (ML) techniques, derived from artificial intelligence theories, were applied: the Support Vector Machine (SVM) algorithm, decision trees, Matern 5/2 Gaussian process regression, boosted trees, and bagged trees.