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causality and deep learning

KAUST-CEMSE-STAT-PhD-dissertation-defense-Zipei-Geng

Computational and Statistical Advances in Spatio-Temporal Modeling: Causality, Deep Learning, and High-Performance Computing

Zipei Geng, Ph.D. Student, Statistics
Nov 2, 16:00 - 18:00

B2, L5, R5209

spatio-temporal modeling causality and deep learning high-performance computing

Recent advances in environmental monitoring and remote sensing have led to an unprecedented increase in spatial and spatio-temporal data complexity, presenting both opportunities and challenges for environmental science. This thesis explores three critical challenges in environmental data analysis.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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