Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness

Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness

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. This study aims to utilize machine learning algorithms to accurately predict rainfall, considering the significant impa...

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Bibliographic Details
Main Authors: Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Md. Asif Rakib Khan, Md. Mahedi Hassan, Farhana Yasmin, Anindya Nag, Tazria Helal Zarin, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Rainfall
rainfall prediction
machine learning
features selection
PCA
cluster analysis
Online Access:https://ieeexplore.ieee.org/document/10320349/

Internet

https://ieeexplore.ieee.org/document/10320349/

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