Underwater acoustic sensor networks (UASNs) are vulnerable to cross-layer collaborative attacks, in which network-layer internal threats and physical-layer jamming jointly endanger data delivery, while existing security schemes relying on isolated single-layer defenses are easily defeated by such intelligent adversarie...
Yan-Han Dong, You-Gan Chen, Cheng Siong Chin et al.· IEEE Transactions on Cogniti...· 0 citations
Reinforcement learning controllers for underwater vehicles are usually trained against one physics representation and deployed against another, so reported performance does not always describe behavior outside training. This paper presents a pipeline-tracking architecture for a six-degree-of-freedom remotely operated v...
Cheng Siong Chin, M. Venkateshkumar, Jian-Hua Zhang· 0 citations
This paper investigates the predefined-time adaptive neural tracking control problem for a class of nonlinear pure feedback systems with full state constraints, and proves that all closed loop signals are predefined-time-bounded and the tracking error meets the preset performance specifications.
Yang Li, Ya-Qi Yu, Quan-Min Zhu et al.· Mathematics· 0 citations
This article examines floating and offshore data centres as an emerging alternative model for digital infrastructure and analyses the opportunities and trade-offs associated with marine deployment, including environmental impacts, engineering design challenges, economic feasibility, and regulatory governance.
Cheng Siong Chin, Jian-Hua Zhang, M. Venkateshkumar· 0 citations
What these findings prove and what they do not, as well as draw conclusions concerning the implications of such discoveries on agentic system testing, supervision, and development, are distinguished.
Cheng Siong Chin· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
