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Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition
May 8, 2024, 4:46 a.m. | Jin-Jian Xu, Hao Zhang, Chao-Sheng Tang, Lin Li, Bin Shi
cs.CV updates on arXiv.org arxiv.org
Abstract: As Earth science enters the era of big data, artificial intelligence (AI) not only offers great potential for solving geoscience problems, but also plays a critical role in accelerating the understanding of the complex, interactive, and multiscale processes of Earth's behavior. As geoscience AI models are progressively utilized for significant predictions in crucial situations, geoscience researchers are increasingly demanding their interpretability and versatility. This study proposes an interpretable geoscience artificial intelligence (XGeoS-AI) framework to unravel …
abstract ai models application artificial artificial intelligence arxiv behavior big big data cs.ai cs.cv data earth eess.iv geoscience image image recognition intelligence interactive processes recognition role science type understanding
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