- Human Mobility and Location-Based Analysis
- Data Stream Mining Techniques
- Nuclear Engineering Thermal-Hydraulics
- Model Reduction and Neural Networks
- Phytase and its Applications
- Scientific Computing and Data Management
- Data Quality and Management
- Hydrocarbon exploration and reservoir analysis
- Geological and Geophysical Studies
- Machine Learning in Healthcare
- Phosphorus and nutrient management
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare and Education
- Organ Donation and Transplantation
- Methane Hydrates and Related Phenomena
- Reservoir Engineering and Simulation Methods
- Robotics and Automated Systems
Sun Yat-sen Memorial Hospital
2025
Sun Yat-sen University
2025
Beijing Institute of Technology
2024
North China University of Technology
2024
Southern University of Science and Technology
2024
National University of Singapore
2024
Meat production is a major contributor to global environmental degradation, including groundwater nitrate contamination driven by intensive fertilizer use and manure production. This study explores the implications of substituting conventional meat products (beef, poultry, pork) with alternative protein sources—plant-based, insect-based, cultured meat—using U.S. market as baseline. Employing an eXtreme Gradient Boosting (XGBoost) model, we quantify risk exceedance compare...
Total organic carbon (TOC) in surface water significantly impacts the global cycle, ecosystem productivity, and potable quality. Although physically based watershed models, such as Terrestrial-Aquatic Sciences Convergence (TASC) model, can simulate cycling waters, challenges persist representing groundwater contributions due to limitations TASC's module. Additionally, like its foundation, Soil Water Assessment Tool (SWAT), TASC model struggles accurately represent distributary stream...
Searching tables from poorly maintained data lakes has long been recognized as a formidable challenge in the realm of management. There are three pivotal tasks: keyword-based, joinable and unionable table search, which form backbone tasks that aim to make sense diverse datasets, such machine learning. In this demo, we propose LakeCompass, an end-to-end prototype system maintains abundant tabular data, supports all above search with high efficacy, well serves downstream ML modeling. To be...