A5034225682- Radiomics and Machine Learning in Medical Imaging
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Esophageal Cancer Research and Treatment
- Geotechnical Engineering and Analysis
- Microgrid Control and Optimization
- Text and Document Classification Technologies
- Power Systems and Renewable Energy
- Integrated Energy Systems Optimization
- Underground infrastructure and sustainability
- Pancreatic and Hepatic Oncology Research
- Stochastic Gradient Optimization Techniques
- Human Pose and Action Recognition
- Privacy-Preserving Technologies in Data
- Gait Recognition and Analysis
- Cryptography and Data Security
- Infrastructure Maintenance and Monitoring
Henan University of Science and Technology
2023
Shanghai Jiao Tong University
2023
Hangzhou Cancer Hospital
2018-2020
Currently deep learning models often rapidly forget the knowledge of old classes when they are continually updated to learn new classes. To alleviate such catastrophic forgetting issues, state-of-the-art approach freezes learned feature extractor preserve and introduces an additional network each time. The issue can be effectively handled by this method at price rapid model expansion. In paper, we propose a novel continual framework, called SEIL, with much Slower Expansion rate better...
The rapid development of distributed energy resources has changed the operating mode traditional power systems, and introduction storage systems become a key means to improve flexibility, stability, reliability grids. This article proposes an optimization algorithm for capacity in distribution networks based on characteristics, which comprehensively considers technical, economic, environmental factors. To verify effectiveness algorithm, we conducted detailed case study real-world network...