A5014908737- Advanced machining processes and optimization
- Advanced Memory and Neural Computing
- Metal Alloys Wear and Properties
- Metallurgy and Material Forming
- Autonomous Vehicle Technology and Safety
- Adhesion, Friction, and Surface Interactions
- Virtual Reality Applications and Impacts
- Mobile Agent-Based Network Management
- Gear and Bearing Dynamics Analysis
- Video Surveillance and Tracking Methods
- Flexible and Reconfigurable Manufacturing Systems
- Reinforcement Learning in Robotics
- IPv6, Mobility, Handover, Networks, Security
- Ferroelectric and Negative Capacitance Devices
- Distributed systems and fault tolerance
- Digital Transformation in Industry
- Software System Performance and Reliability
- UAV Applications and Optimization
- EEG and Brain-Computer Interfaces
- IoT and Edge/Fog Computing
- Software Testing and Debugging Techniques
- Distributed Control Multi-Agent Systems
- Blockchain Technology Applications and Security
- Vehicular Ad Hoc Networks (VANETs)
Singapore University of Technology and Design
2024-2025
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
Microsoft (United States)
2007
Integrated sensing and communication (ISAC) has emerged as a pivotal technology for enabling vehicle-to-everything (V2X) connectivity, mobility, security. However, designing efficient beamforming schemes to achieve accurate enhance performance in the dynamic uncertain environments of V2X networks presents significant challenges. While AI technologies offer promising solutions, energy-intensive nature neural (NNs) imposes substantial burdens on infrastructures. This work proposes an...
<ns3:p>During the hot rolling process, performance of most control systems gradually degrades due to equipment aging and changing process conditions. However, existing gauge-looper-tension method remain restricted by a lack intelligent parameter maintenance strategies. To address this challenge enhance smart manufacturing capabilities strip rolling, based on digital twin method, paper proposes data-driven optimized for system rolling. First, model is constructed serve as an evaluation...
<ns3:p>Background During the hot rolling process, performance of most control systems gradually degrades due to equipment aging and changing process conditions. However, existing gauge-looper-tension method remain restricted by a lack intelligent parameter maintenance strategies. Methods To address this challenge enhance smart manufacturing capabilities strip rolling, based on digital twin method, paper proposes data-driven optimized for system rolling. First, model is constructed serve as...
New versions of existing large-scale web services such as Passport.com© have to go through rigorous performance evaluations in order ensure a high degree availability. Performance testing (such benchmarking, scalability, and capacity tests) stateful systems managed test environments has many different challenges, mainly related the reproducibility production conditions live data centers. One these challenges is creating dataset environment that mimics actual production. Other involve...
The integration of the Metaverse into a human-centric ecosystem has intensified need for sophisticated Human Digital Twins (HDTs) that are driven by multifaceted human data. However, effective construction HDTs faces significant challenges due to heterogeneity data collection devices, high energy demands associated with processing intricate data, and concerns over privacy sensitive information. This work introduces novel biologically-inspired (bio-inspired) HDT framework leverages...