A5110843784- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Atomic and Subatomic Physics Research
- Medical Imaging Techniques and Applications
- Nuclear physics research studies
- Particle Detector Development and Performance
- Advanced NMR Techniques and Applications
- Algorithms and Data Compression
- Text and Document Classification Technologies
- Advanced Computational Techniques and Applications
- Distributed and Parallel Computing Systems
- Molecular spectroscopy and chirality
- advanced mathematical theories
- Coastal and Marine Dynamics
- Cryptography and Data Security
- Ocean Waves and Remote Sensing
- Scientific Research and Discoveries
- Micro and Nano Robotics
- Wireless Communication Security Techniques
- GABA and Rice Research
- International Science and Diplomacy
Sichuan University
2021-2025
Sun Yat-sen University
2021-2024
Nanjing University of Information Science and Technology
2024
Beijing Institute of Technology
2024
Zhuhai Institute of Advanced Technology
2024
University of Münster
2021
With AI increasingly transforming how various entities perform certain operations, it is necessary to explore the technology in detail gain additional insight into its nature and effects. The research focuses on AI’s technical social In addition, examines impact of communication, scrutinizes ethical implications. This draws data from secondary sources, particularly works published past five years. Findings reveal that, technically, enhances quality production improves processing analysis....
Wave prediction is crucial for ensuring the safety and disaster mitigation of coastal areas, helping to support marine economic activities. Currently, many deep learning models, such as temporal convolutional network (TCN), have been applied wave prediction. In this study, a model based on improved TCN-Attention (ITCN-A) proposed. This incorporates improvements in two aspects. Firstly, address difficulty calibrating hyperparameters traditional TCN whale optimization algorithm (WOA) has...
Federated Learning is a well-researched approach for collaboratively training machine learning models across decentralized data while preserving privacy. However, integrating Homomorphic Encryption to ensure confidentiality introduces significant computational and communication overheads, particularly in heterogeneous environments where clients have varying capacities security needs. In this paper, we propose HERL, Reinforcement Learning-based that uses Q-Learning dynamically optimize...