A5088493932- Rough Sets and Fuzzy Logic
- Metaheuristic Optimization Algorithms Research
- Data Mining Algorithms and Applications
- Advanced Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Data Management and Algorithms
- Face and Expression Recognition
- Imbalanced Data Classification Techniques
- Advanced Sensor and Control Systems
- Advanced Wireless Network Optimization
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Advanced MIMO Systems Optimization
- Image Retrieval and Classification Techniques
- Multi-Criteria Decision Making
- Wireless Sensor Networks and IoT
- Industrial Vision Systems and Defect Detection
- Elevator Systems and Control
- EEG and Brain-Computer Interfaces
- Advanced Combustion Engine Technologies
- Advanced Image and Video Retrieval Techniques
- Robotic Locomotion and Control
- Fuzzy and Soft Set Theory
- Advanced Numerical Analysis Techniques
Nanyang Technological University
2024-2025
Southeast University
2024
Singapore University of Technology and Design
2022-2024
Jiangsu Second Normal University
2024
Guangdong University of Technology
2009-2024
Lanzhou University
2024
Ningbo University
2011-2022
Northeastern University
2020-2021
China Agricultural University
2021
Hebei University of Technology
2019-2020
Parrondo's paradox refers to the counterintuitive phenomenon whereby two losing strategies, when alternated in a certain manner, can result winning outcome. Understanding optimal sequence games is of significant importance for maximizing profits various contexts. However, current predefined sequences may not adapt well changing environments, limiting their potential achieving best performance. We posit that strategy determines which game play should be learnable through experience. In this...
Finding an ideal sequence in games is crucial for maximizing gains various scenarios. This process requires extensive investigation, which both time consuming and demands significant domain expertise. The emergence of large language models (LLMs) represents a turning point addressing this issue, attributable to their potent analytical capabilities. In context, LLMs can serve substantially alleviate the human labor needed manage these complexities. Through comprehensive simulations...
Representation learning of urban spatial-temporal data is fundamental and critical, serving a wide range intelligent applications. Given that road networks trajectories are inherently interrelated, their joint representation can significantly enhance the accuracy utility these However, effectively representations for two types remains challenging, particularly due to complexities interaction modeling cross-scale optimization. To this end, we propose unified framework, named UniTR,...
The stability of scaffolding structures is crucial for quality management in construction. Currently, assembly monitoring relies on visual inspections performed by designated on-site personnel, which are highly subjective, inaccurate, and inefficient, hindering the advancement intelligent construction practices. This study proposes an automated method inspection using point cloud data feature selection algorithms. High-precision captured a Trimble X7 3D laser scanner. After registration with...
The goal of this study was to determine the prevalence diabetes mellitus (DM), impaired glucose regulation (IGR) and related metabolic disorders (overweight, obesity hypertension) in a Chinese population (20-74 years old). An additional investigate relationship between metabolism Minnesota code-indicated major abnormal electrocardiogram (MA-ECG). There were 3960 individuals selected from urban rural areas Fujian, China July 2007 May 2008 by multistage-stratified sampling. Ultimately, data...