Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: Skeleton-based human action recognition has rapidly secured a central position in research by leveraging the abstract representation of geometric structures and temporal dynamics. However, ...

Abstract: This article proposes an adjustable-error neural network (NN) approximator and incorporates it into the adaptive neural tracking controller design of ...