A5021950337- Radioactivity and Radon Measurements
- Recommender Systems and Techniques
- Geochemistry and Geologic Mapping
- Insect and Pesticide Research
- Noise Effects and Management
- Plant and animal studies
- Heavy metals in environment
- Mobile Crowdsensing and Crowdsourcing
- Aerodynamics and Fluid Dynamics Research
- Wind and Air Flow Studies
- Advanced Bandit Algorithms Research
- Maritime Ports and Logistics
Dalian Maritime University
2024
The University of Kitakyushu
2024
University of Chinese Academy of Sciences
2011-2023
Institute of Computing Technology
2023
Institute of Urban Environment
2011
Chinese Academy of Sciences
2011
Village streets are indispensable spaces for people to perform outdoor activities, and they also directly affect the wind environment in villages. At present, paying more attention comfort of urban residential areas commercial streets, but there is a lack research on village town streets. By summarizing field meteorological data Lefeng Village, we propose evaluation requirements applicable Hanjiang River’s Chuan Dao area winter summer seasons. We found that than 80% less 1 m/s. Based...
Purpose This paper aims to investigate the possibility of using hybrid transportation modes depending on inland waterways transport reduce dependency road in Egypt focusing environmental, economic, and social measures. Design/ methodology/ approach The research is considered inductive qualitative that employed a focus group tool collect interactive in-depth insights from experts field within different sectors because study needs deep investigation validate preparedness Egypt. Findings...
Recommender systems often suffer from popularity bias, where popular items are overly recommended while sacrificing unpopular items. Existing researches generally focus on ensuring the number of recommendations (exposure) each item is equal or proportional, using inverse propensity weighting, causal intervention, adversarial training. However, increasing exposure may not bring more clicks interactions, resulting in skewed benefits and failing achieving real reasonable debiasing. In this...