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

Abstract 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,...

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Principais autores:	Farid Zamani Che Rose, Nur Aqilah Khadijah Rosili, Muhammad Fadhil Marsani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-07-01
coleção:	Scientific Reports
Assuntos:	Machine learning Prediction Temperature Humidity Precipitation Adaptation
Acesso em linha:	https://doi.org/10.1038/s41598-025-08033-y
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