Abstract: Data set bias not only compromises the fairness, accuracy and effectiveness of trained models, but also leads to a lower performance in real-world scenarios compared to the evaluation ...
A comprehensive full-stack development learning resource covering programming languages, frameworks, databases, system architecture, and data structures, with practical code examples and detailed ...
Abstract: Our research introduces a health-aware dispatching framework for large-scale crowd events, focusing on safety and privacy. It combines (i) Disjoint Set Union (DSU) for efficient group ...
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