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 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
A principal contribution of this work is the transparency-first framework, in which every reported metric is explicitly identified as measured, derived, or unavailable, thereby improving the traceability, interpretability, and reliability of speech analytics.
C. Chin, Jianhua Zhang, M. Venkateshkumar· arXiv.org· 0 citations
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