The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
An intelligent early flood forecasting and prediction leveraging machine and deep learning algorithms with advanced alert system
Flood disasters are a natural occurrence around the world, resulting in numerous casualties.
It is vital to develop an accurate flood forecasting and prediction model in order to curb …
It is vital to develop an accurate flood forecasting and prediction model in order to curb …
Daily Streamflow Time Series Modeling by Using a Periodic Autoregressive Model (ARMA) Based on Fuzzy Clustering
M Khazaeiathar, R Hadizadeh, N Fathollahzadeh Attar… - Water, 2022 - mdpi.com
The behavior of hydrological processes is periodic and stochastic due to the influence of
climatic factors. Therefore, it is crucial to develop the models based on their periodicity and …
climatic factors. Therefore, it is crucial to develop the models based on their periodicity and …
[PDF][PDF] Artificial Neural Networks and Regression Modeling for Water Resources Management in Indus Basin
M Imran, MD Majeed, M Zaman, MA Shahid… - Environ. Sci …, 2023 - sciforum.net
A flood is a natural disaster. Heavy rainfall and overflow frequently cause enclosed land
areas to fill with water, resulting in considerable loss of human life and property, including …
areas to fill with water, resulting in considerable loss of human life and property, including …