1 citations · 1 across the 6 of their papers we have counts for
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Planning or Learning: Reliability and Cost in Multi-Asset Maintenance
Xian Yeow Lee, Chandrasekar Venkatraman, Ahmed Farahat
Industrial maintenance systems involve multiple interacting assets and shared resources, making it challenging to balance reliability and operational cost using a single decision f…
A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
Xian Yeow Lee, Teppei Inoue, Haiyan Wang +1
Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indic…
Weakly-supervised Latent Models for Task-specific Visual-Language Control
Xian Yeow Lee, Lasitha Vidyaratne, Gregory Sin +2
Autonomous inspection in hazardous environments requires AI agents that can interpret high-level goals and execute precise control. A key capability for such agents is spatial grou…
Exploring LLM-based Frameworks for Fault Diagnosis
Xian Yeow Lee, Lasitha Vidyaratne, Ahmed Farahat +1
Large Language Model (LLM)-based systems present new opportunities for autonomous health monitoring in sensor-rich industrial environments. This study explores the potential of LLM…
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data
Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata +2
Dynamic dispatching rules that allocate resources to tasks in real-time play a critical role in ensuring efficient operations of many automated material handling systems across ind…