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Cited article:
Mohammed Seyam, Faridah Othman, Ahmed El-Shafie
MATEC Web Conf., 111 (2017) 01007
Published online: 2017-06-20
This article has been cited by the following article(s):
Investigation of the Influence of Excess Pumping on Groundwater Salinity in the Gaza Coastal Aquifer (Palestine) Using Three Predicted Future Scenarios
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Water 12 (8) 2218 (2020)
DOI: 10.3390/w12082218
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Performance assessment of artificial neural networks and support vector regression models for stream flow predictions
Ateeq-ur-Rauf, Abdul Razzaq Ghumman, Sajjad Ahmad and Hashim Nisar Hashmi
Environmental Monitoring and Assessment 190 (12) (2018)
DOI: 10.1007/s10661-018-7012-9
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Forecasting Daily Streamflow for Basins with Different Physical Characteristics through Data-Driven Methods
Sinan Jasim Hadi and Mustafa Tombul
Water Resources Management 32 (10) 3405 (2018)
DOI: 10.1007/s11269-018-1998-1
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Comparison of Artificial Neural Network and Support Vector Machine for Long-Term Runoff Simulation
Z Hassan, S Z Rosdi, A N Kamarudzaman, M Abdul Rahim and Z M Ghazaly
IOP Conference Series: Earth and Environmental Science 476 (1) 012119 (2020)
DOI: 10.1088/1755-1315/476/1/012119
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Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks
Mohammed Rakeibul Hasan, Mohammed Ishraaf Fatemi, Mohammad Monirujjaman Khan, Manjit Kaur, Atef Zaguia and Kalidoss Rajakani
Journal of Healthcare Engineering 2021 1 (2021)
DOI: 10.1155/2021/5895156
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Mohammed Seyam
3 (2022)
DOI: 10.1007/978-3-030-76081-6_1
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Monthly runoff prediction at Baitarani river basin by support vector machine based on Salp swarm algorithm
Sandeep Samantaray, Sambit Sawan Das, Abinash Sahoo and Deba Prakash Satapathy
Ain Shams Engineering Journal 13 (5) 101732 (2022)
DOI: 10.1016/j.asej.2022.101732
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