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Ahmed Elbeltagi
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2020 – today
- 2024
- [j14]Somayeh Emami, Vahid Rezaverdinejad, Hossein Dehghanisanij, Hojjat Emami, Ahmed Elbeltagi:
Data mining predictive algorithms for estimating soil water content. Soft Comput. 28(6): 4915-4931 (2024) - 2023
- [j13]Dimple, Pradeep Kumar Singh, Jitendra Rajput, Dheeraj Kumar, Venkatesh Gaddikeri, Ahmed Elbeltagi:
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices. Ecol. Informatics 75: 102093 (2023) - [j12]Ahmed Elbeltagi, Akram Seifi, Mohammad Ehteram, Bilel Zerouali, Dinesh Kumar Vishwakarma, Kusum Pandey:
GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation. Neural Comput. Appl. 35(20): 14799-14824 (2023) - [j11]Rabeea Noor, Arfan Arshad, Muhammad Shafeeque, Jinping Liu, Azhar Baig, Shoaib Ali, Aarish Maqsood, Quoc Bao Pham, Adil Dilawar, Shahbaz Nasir Khan, Duong Tran Anh, Ahmed Elbeltagi:
Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin. Remote. Sens. 15(2): 318 (2023) - 2022
- [j10]Mehdi Jamei, Ahmed Elbeltagi, Saman Maroufpoor, Masoud Karbasi, Mozhdeh Jamei, Mohammadnabi Jalali, Negin Najafzadeh:
Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection. Comput. Electron. Agric. 193: 106687 (2022) - [j9]Safwan Mohammed, Ahmed Elbeltagi, Bashar Bashir, Karam Alsafadi, Firas Alsilibe, Abdullah Alsalman, Mojtaba Zeraatpisheh, Adrienn Széles, Endre Harsányi:
A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean. Comput. Electron. Agric. 197: 106925 (2022) - [j8]Abdullah Azzam, Wanchang Zhang, Fazlullah Akhtar, Zubair Shaheen, Ahmed Elbeltagi:
Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia. Comput. Electron. Agric. 202: 107403 (2022) - [j7]Purabi Sarkar, Pankaj Kumar, Dinesh Kumar Vishwakarma, Alaknanda Ashok, Ahmed Elbeltagi, Sandeep Gupta, Alban Kuriqi:
Watershed prioritization using morphometric analysis by MCDM approaches. Ecol. Informatics 70: 101763 (2022) - [j6]Cláudia Adriana Bueno da Fonseca, Nadhir Al-Ansari, Richarde Marques da Silva, Celso Augusto Guimarães Santos, Bilel Zerouali, Daniel Bezerra de Oliveira, Ahmed Elbeltagi:
Investigating Relationships between Runoff-Erosion Processes and Land Use and Land Cover Using Remote Sensing Multiple Gridded Datasets. ISPRS Int. J. Geo Inf. 11(5): 272 (2022) - [j5]Quoc Bao Pham, Manish Kumar, Fabio Di Nunno, Ahmed Elbeltagi, Francesco Granata, Abu Reza Md. Towfiqul Islam, Swapan Talukdar, X. Cuong Nguyen, Ali Najah Ahmed, Duong Tran Anh:
Groundwater level prediction using machine learning algorithms in a drought-prone area. Neural Comput. Appl. 34(13): 10751-10773 (2022) - [j4]Atish Sagar, Murtaza Hasan, Dhirendra Kumar Singh, Nadhir Al-Ansari, Debashis Chakraborty, Mam Chand Singh, Mir Asif Iquebal, Amit Kumar, Pankaj Malkani, Dinesh Kumar Vishwakarma, Ahmed Elbeltagi:
Development of Smart Weighing Lysimeter for Measuring Evapotranspiration and Developing Crop Coefficient for Greenhouse Chrysanthemum. Sensors 22(16): 6239 (2022) - 2021
- [j3]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:
Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms. IEEE Access 9: 65503-65523 (2021) - [j2]Ali Mokhtar, Ahmed Elbeltagi, Saman Maroufpoor, Nasrin Azad, Hongming He, Karam Alsafadi, Yeboah Gyasi-Agyei, Wenming He:
Estimation of the rice water footprint based on machine learning algorithms. Comput. Electron. Agric. 191: 106501 (2021) - 2020
- [j1]Ahmed Elbeltagi, Linjing Zhang, Jinsong Deng, Adam Juma, Ke Wang:
Modeling monthly crop coefficients of maize based on limited meteorological data: A case study in Nile Delta, Egypt. Comput. Electron. Agric. 173: 105368 (2020)
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