Machine learning-based rainfall prediction: Unveiling insights and forecasting for improved preparedness

MM Hassan, MAT Rony, MAR Khan, MM Hassan… - IEEE …, 2023 - ieeexplore.ieee.org
Rainfall prediction plays a crucial role in raising awareness about the potential dangers
associated with rain and enabling individuals to take proactive measures for their safety …

[HTML][HTML] Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh

A Rajab, H Farman, N Islam, D Syed, MA Elmagzoub… - Water, 2023 - mdpi.com
Forecasting rainfall is crucial to the well-being of individuals and is significant everywhere in
the world. It contributes to reducing the disastrous effects of floods on agriculture, human life …

Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022

MM Hasan, MJ Hasan, PB Rahman - PloS one, 2024 - journals.plos.org
Forecasting the weather in an area characterized by erratic weather patterns and
unpredictable climate change is a challenging endeavour. The weather is classified as a …

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 …

Aqua Foresight Logistics Regression Based Rainfall Prediction

P Saraswathi, M Prabha, PR Nega… - 2024 International …, 2024 - ieeexplore.ieee.org
The goal of meteorological science is to better comprehend Earth's atmosphere and create
reliable weather prediction models. For weather forecasting, several techniques have been …

Forecasting Rainfall in Bangladesh: A Sophisticated Exploration Through Machine Learning Approaches

MS Ahammad, SA Sinthia, MM Ahmed… - 2024 15th …, 2024 - ieeexplore.ieee.org
Rainfall is the descent of condensed water vapor from the atmosphere to the Earth's surface.
Hydrology, agriculture and disaster management are among the many businesses that …

Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall

H Farman, N Islam, N Hasany - Journal of Independent Studies …, 2024 - jisrc.szabist.edu.pk
Natural distasters such as landslides, heat waves, storms, tsunamis, floods, earthquakes,
and droughts endanger the lives of thousands of people worldwide. Flooding is one of the …

Revisión sistemática de la literatura sobre técnicas de inteligencia artificial en la predicción de desastres naturales: Systematic review of the literature on artificial …

YLM Mero, DFZ Montenegro… - Revista Científica …, 2024 - revista.gnerando.org
Los desastres naturales son las consecuencias de fenómenos que atentan contra el medio
ambiente, las personas y sus bienes; la inmersión tecnológica en este campo posibilita …

Performance evaluation of Machine Learning based regression models for rainfall forecasting

MA Saleh, HM Rasel - 2024 - researchsquare.com
Rainfall plays a crucial role in the water cycle, serving as a direct input for agricultural
practices and water resource management. However, its patterns vary significantly across …

Evaluating Rainfall Prediction Models on Time Series Data from Bangladesh and Pakistan: A Comparative Approach

N Hasany, H Salman, A Farman - Journal of Computing & Biomedical …, 2024 - jcbi.org
Predicting rainfall is obviously a challenging task due to the multitude of factors and
elements that impact climate conditions. Accurate rainfall forecasts are extremely important …