A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon
Flood crises are the consequence of climate change and global warming, which lead to an
increase in the frequency and intensity of heavy rainfall. Floods are, and remain, natural …
increase in the frequency and intensity of heavy rainfall. Floods are, and remain, natural …
Forecasting river daily discharge using decision tree and time series methods
MR Kabootarkhani, SG Kermani… - Proceedings of the …, 2023 - icevirtuallibrary.com
River floods disrupt communication and transportation networks, damage buildings and
infrastructure, destroy agricultural products and livestock, cause capital losses and …
infrastructure, destroy agricultural products and livestock, cause capital losses and …
Hydro-Informatic Modeling for Flood Prediction Through Explainable AI to Interpret Water Dynamics in Bangladesh Perspective
SH Mahir, MDTAN TASHRIF, MA Hamza… - … and Information & …, 2024 - ieeexplore.ieee.org
Bangladesh's low-lying geography and climatic sensitivity are making Sylhet in particular
more vulnerable to flooding. The Surma and Kushiara rivers spilling their banks is the …
more vulnerable to flooding. The Surma and Kushiara rivers spilling their banks is the …