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Article
Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting
Due to the considerable computational demands of physics-based numerical weather prediction, especially when modeling fine-grained spatio-temporal atmospheric phenomena, deep learning methods offer an advantag...
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Chapter and Conference Paper
Social-CVAE: Pedestrian Trajectory Prediction Using Conditional Variational Auto-Encoder
Pedestrian trajectory prediction is a fundamental task in applications such as autonomous driving, robot navigation, and advanced video surveillance. Since human motion behavior is inherently unpredictable, re...
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Chapter and Conference Paper
Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability
Data-based explanatory fault diagnosis methods are of great practical significance to modern industrial systems due to their clear elaborations of the cause and effect relationship. Based on Boolean logic, log...