AI and machine learning in climate change research: A review of predictive models and environmental impact
Ahmad Hamdan,
Kenneth Ifeanyi Ibekwe,
Emmanuel Augustine Etukudoh
et al.
Abstract:The burgeoning threat of climate change has spurred an increased reliance on advanced technologies to comprehend and mitigate its far-reaching consequences. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as indispensable tools in climate change research, offering unprecedented capabilities for predictive modeling and assessing environmental impact. This review synthesizes the current state of AI and ML applications in climate change research, emphasizing their role in predictive modeling a… Show more
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