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Malcolm Yoke Hean

As seen in: Frontiers
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Articles

Computer Science > Artificial Intelligence

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By Malcolm Yoke Hean
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2512.06351] LLM-Upgraded Graph Reinforcement Learning for Carbon-Aware Job Scheduling in Smart Manufacturing

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By Malcolm Yoke Hean, Boon Ping, Fang Liu, Wei Zhang
| arxiv.org
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IoT devices deployment challenges and studies in Building Management System

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By Kai Xing Mun, Ching Bon, Malcolm Yoke Hean, Kar Peo
| Frontiers
Ching Bon Chan1* Wye K. Yan1 Ma Man1 Kai M. Loh1 Tan Yu1 Malcolm Yoke Hean Low1 KAR PEO Yar1 Habib Rehman2 Thong Chee Phua2 1Singapore Institute of Technology, Singapore 2Firefense Pte Ltd, Singapore The final, formatted version of the article will be published soon. Receive an email when it is updated Deployment of IoT devices into an existing control system has increasingly become a new norm in recent years.
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