
Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Leong Hou U.
Affiliation
SKL of Internet of Things for Smart City, University of Macau, Macau SAR, China
Topic
Kernel Function,Upper Bound,Additive Kernel,Changes In Acceleration,Computer Vision,Deep Reinforcement Learning,Depth-first,Energy Consumption,Frequent Pattern,Gaussian Kernel,Large-scale Datasets,Learning Process,Markov Decision Process,Minimum Interval,Passenger Comfort,Pedestrian Detection,Polynomial Kernel,Real-world Datasets,Reinforcement Learning Algorithm,Shortest Path,State Space,Train Operation,Trip Time,Types Of Edges,Acceleration Values,Accurate Method,Actual Interval,Adaptive Control,Additional Functions,Additional Space,Adoption Rate,Advanced Solutions,Aggregation Kernel,Algorithm In Section,Alternative Mobility,Applicability Domain,Approximate Dynamic Programming,Approximate Ratio,Approximate Value,Artificial Intelligence Technology,Attention Heads,Automated Vehicles,Autonomous Vehicles,Average Reward,Average Travel Time,Baseline Solution,Bike-sharing,Bilateral Cooperation,Blended Learning,Blended Learning Environment,
Biography
Leong Hou U received the BSc degree from Taiwan Chi Nan University, the MSc degree from the University of Macau, and the PhD degree from the University of Hong Kong. He is now an associate professor with the IOTSC, Department of Computer and Information Science, and Centre for Data Science, University of Macau. His research interests include spatio-temporal databases, large data query processing, graph learning, and optimization problems.