Nguyen Thanh Hoan1, Nguyen Van Dung1, Ho Le Thu1, Hoa Thuy Quynh1, Nadhir Al-Ansari2,*, Tran Van Phong3, Phan Trong Trinh3, Dam Duc Nguyen4, Hiep Van Le4, Hanh Bich Thi Nguyen4, Mahdis Amiri5, Indra Prakash6, Binh Thai Pham4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1431-1449, 2022, DOI:10.32604/cmes.2022.018699
Abstract Water level predictions in the river, lake and delta play an important role in flood management. Every year Mekong
River delta of Vietnam is experiencing flood due to heavy monsoon rains and high tides. Land subsidence may
also aggravate flooding problems in this area. Therefore, accurate predictions of water levels in this region are very
important to forewarn the people and authorities for taking timely adequate remedial measures to prevent losses
of life and property. There are so many methods available to predict the water levels based on historical data but
nowadays Machine Learning (ML) methods are considered the best… More >
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