AI RESEARCH
Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems
arXiv CS.LG
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ArXi:2605.19366v1 Announce Type: new Environmental science plays a pivotal role in safeguarding ecosystems, a domain driven by large-scale, heterogeneous data. In the big data era, artificial intelligence (AI) has emerged as a transformative tool for learning patterns and ing decision-making. This dissertation develops AI-based approaches tailored to complex environmental science problems to achieve Environmental Intelligence, studying three specific challenges. First, we focus on flood prediction and management in coastal river systems.