Deep Learning Approaches for Predicting Climate Change Impacts: An Empirical Analysis

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Climate change stands as one of the most critical global challenges with enormous implications. Since its science is well understood, efforts now focus on modeling and predicting its effects to mitigate or adapt to these. Deep learning, with its remarkable aptitude for data representation and analysis, is a promising candidate to enhance weather attack predictions on a global scale.

https://ieeexplore.ieee.org/document/10749950

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Dr.Ammar Falih
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