Browsing by Subject "Flood prediction"
Now showing items 1-5 of 5
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An effective real-time flood disaster management with automated GSM warning system
(Brac University, 2022-04)Flood is one most devastating calamity of Bangladesh. A project is introduced that emphasizes management strategies throughout the crisis and issues alerts before and after a flood to reduce any concerns. To our study, ... -
Flood prediction using machine learning models
(Brac University, 2022-01)Floods are one of nature’s most catastrophic calamities which cause irreversible and immense damage to human life, agriculture, infrastructure and socio-economic system. Floods are one of Bangladesh’s most common natural ... -
Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
(Brac University, 2024-01)Flooding is a complex phenomenon that, due to its nonlinear and dynamic character, is difficult to anticipate. As a result, the prediction of floods has emerged as a critical area of study in the field of hydrology. ... -
Predicting climate induced floods using machine learning
(Brac University, 2022-01)Climate change has been causing devastation on the economy of the country and the world as a whole. The study aims to determine how climate change would impact the frequency and severity of one of the major natural ... -
Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
(Brac University, 2024-05)Bangladesh suffers from the cumulative effects of floods brought on by water flashing from nearby hills, the accumulation of the inflow of water from upstream catchments, and locally heavy rainfall made worse by drainage ...
