A5022147462- Wireless Communication Security Techniques
- Crop Yield and Soil Fertility
- Digital Media Forensic Detection
- Machine Learning and ELM
- Wireless Signal Modulation Classification
- Advanced Measurement and Detection Methods
- Plant Water Relations and Carbon Dynamics
- Bacterial Genetics and Biotechnology
- Image Processing Techniques and Applications
- Coal Properties and Utilization
- Hydrology and Drought Analysis
- DNA and Nucleic Acid Chemistry
- Advanced Sensor and Control Systems
- Telecommunications and Broadcasting Technologies
- Spectroscopy and Chemometric Analyses
- Advanced biosensing and bioanalysis techniques
- Speech and Audio Processing
- Advanced MIMO Systems Optimization
- Geoscience and Mining Technology
- Advanced Algorithms and Applications
- Image and Signal Denoising Methods
Ministry of Agriculture and Rural Affairs
2025
China Agricultural University
2025
Nanjing University of Aeronautics and Astronautics
2023
University of Electronic Science and Technology of China
2023
Shenyang University of Chemical Technology
2009
Chemically synthesized DNA fragments are increasingly recognized as highly valuable tracers for investigating environmental pollution due to their inherent high specificity, sequence diversity, friendliness, stable migration, and detection sensitivity, outperforming traditional ion dye tracers. Despite advantages, a systematic approach generating suitable sequences, which is critical requirement preparing tracers, remains not fully developed. This study introduces an optimization generator...
This paper presents an innovative approach to enhance communication security by accurately predicting eavesdropper channel strength through real-time variations based on legitimate channels. Utilizing Long Short-Term Memory (LSTM) neural networks, this method trains a model predict amplitude of the channel. To address location information known unlicensed users within network, LSTM is established collecting from licensed in real wireless propagation environment. utilized user. Experimental...
This paper aims to address the real-time transmission of image information verification in industrial operations through fusion multi-source information. It combines channel and feature extraction, employing a neural network model based on self-supervised learning for deep learning. The utilizes data collection, processing, multiple convolutions extract profound physical features, achieving more accurate reflection user environmental characteristics. Experimental results indicate that...
This research aims to enhance the security of wireless communication. Although significant progress has been made in physical layer secure communication, most existing researches are based on theoretical models and do not fully consider real propagation environment. Therefore, we simulate signal a complex environment by ray tracing algorithm, comprehensively considering various influencing factors. Experimental results show effectiveness proposed method, which provides new idea for design...