Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

Zaher Mundher Yaseena School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor Bahru, MalaysiaCorrespondence[email protected]

https://orcid.org/0000-0003-3647-7137

Anas Mahmood Al-Juboorib Dams and Water Resources Research Center, University of Mosul, Mosul, Iraq

Ufuk Beyaztasc Department of Statistics, Bartin University, Bartin 74100, Turkey

Nadhir Al-Ansarid Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187 Lulea, Sweden

Kwok-Wing Chaue Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People’s Republic of China

Chongchong Qif School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan Province, People’s Republic of China

Mumtaz Alig Deakin-SWU Joint Research Centre on Big Data, School of Information Technology, Deakin University, VIC 3125, Australia

Sinan Q. Salihh Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam

Shamsuddin Shahida School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor Bahru, MalaysiaCorrespondence[email protected]

https://orcid.org/0000-0001-9621-6452

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Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

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Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

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