Comparison of machine learning model performance for predicting the climate variables in Johor Bahru, Malaysia

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Comparison of machine learning model performance for predicting the climate variables in Johor Bahru, Malaysia

Accurately predicting climate variables such as air temperature, humidity and precipitation plays a crucial role in air quality management. This research aims to provide preliminary information that can shed lights to local stakeholders for climate adaptation strategies in Johor Bahru city, Malaysia...

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Bibliographic Details
Main Authors:	Che Rose, Farid Zamani, Rosili, Nur Aqilah Khadijah, Marsani, Muhammad Fadhil
Format:	Article
Language:	English
Published:	Nature Research 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/120149/ http://psasir.upm.edu.my/id/eprint/120149/1/120149.pdf

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