30/12/2025
RESEARCH | The extreme rise in temperature and accelerating climate change present significant challenges to sustainability, particularly in urban areas.
To support ongoing efforts to create sustainable communities and enhance climate change mitigation and adaptation strategies in the Philippines, we developed machine learning models to predict maximum temperatures in Manila and Dagupan City. These models serve as a valuable tool for informed decision-making.
Authors: Jamlech Iram Gojo Cruz (Artificial Intelligence Program, University of the Philippines Diliman | Institute of Computer Science, University of the Philippines Los Baños), Jose Maria Lorenzo de Vera (Artificial Intelligence Program, University of the Philippines Diliman) and Karl Ezra Pilario (Artificial Intelligence Program, University of the Philippines Diliman | Process Systems Engineering Laboratory, Department of Chemical Engineering, University of the Philippines Diliman)
Published in Urban Climate
Read more: https://ovpaa.up.edu.ph/research/advanced-machine-learning-models-now-enable-reliable-prediction-of-maximum-temperatures-in-manila-and-dagupan-city/