A5037551405- Blockchain Technology Applications and Security
- Climate Change Policy and Economics
- Advanced Malware Detection Techniques
- Cryptography and Data Security
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Retinal Imaging and Analysis
- Chemical Synthesis and Analysis
- Global Energy and Sustainability Research
- Internet Traffic Analysis and Secure E-voting
- User Authentication and Security Systems
- Advanced Graph Neural Networks
- Ultrasound Imaging and Elastography
- Physical Unclonable Functions (PUFs) and Hardware Security
- Innovation Policy and R&D
- Supply Chain and Inventory Management
- Advanced Neural Network Applications
- Advanced Battery Technologies Research
- Electric Power System Optimization
- Analytical Chemistry and Chromatography
- Machine Learning and ELM
- Privacy-Preserving Technologies in Data
- Railway Systems and Energy Efficiency
- Functional Brain Connectivity Studies
- Phonocardiography and Auscultation Techniques
Shaoxing University
2024-2025
Beihang University
2024
Beijing Institute of Technology
2020-2024
China University of Mining and Technology
2022-2024
Shenyang Pharmaceutical University
2023
Northwestern Polytechnical University
2023
Northwest A&F University
2020
Blockchain is a revolutionary technology for constructing trustworthy communications 6G multiaccess edge computing (6G-MEC). Designing blockchain-based access control system 6G-MEC challenging due to the highly heterogeneous devices (EDs) in 6G-MEC. However, traditional methods cannot satisfy device scenarios and are unable assign voting weights based on performance of EDs. In this article, we propose method networks demonstrate how blockchain can be utilized our proposed blockchain-assisted...
With the rapid growth of data volume in digital library and increasingly complex network environment, traditional security measures are no longer able to meet their needs. In response problems low detection accuracy long time methods, we propose a management method based on bidirectional gated recurrent unit temporal convolutional detector (BiGRU-TCNDetector) using powerful capabilities deep learning technology. It efficiently intelligently detects manages network. The combines structures...
Artificial Intelligence (AI) technology has been empowered to be a significant driven force within the edge context for powering up contemporary complex systems, such as smart critical infrastructure. Interconnectivity between physical and cyber spaces further introduces needs of digital twin, which allows AI-based solutions optimize various tasks in operations. However, due complexity setting task allocation is encountering multiple challenges, concurrent meeting requirements energy saving,...
With the rapid development of economic globalization, cooperation between countries, enterprises, has become a key factor whether country and enterprises can make great progress. In these processes, it is necessary to trace source business data or log for auditing accountability. However, multi-party participating in often do not trust each other, separate accounting leads isolated islands information, which makes difficult entire life cycle data. Therefore, there an urgent need mechanism...
To avoid the energy supply risk caused by large-scale integration of renewable power with grid, coal plants carbon capture utilization and storage (CCUS) have potential to play an important role in transition a low-carbon electricity system. Based on evolutionary game theory, this study analyzed equilibrium states, trajectory corresponding critical conditions between government enterprises process. Subsequently, numerical analysis was conducted. The results showed that trading scheme can...
The growing number of satellites in orbit has resulted a rise defunct and space debris, posing significant risk to valuable spacecraft like normal stations. Therefore, the removal debris become increasingly crucial. This article presents segmentation method for satellite images captured visible light spectrum space. Firstly, due lack real images, we used optical simulation Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization Image-to-Image Translation...
Abstract This paper constructs a patent value assessment model for colleges and universities from two perspectives of: identification price prediction. Firstly, 10 indicators are selected 3 dimensions of technology, economy, law. Then it combines the artificial way entropy weight TOPSIS machine learning gradient boosting tree to realize university patents grading economic patents. After analyzing, can be seen that after pre-processing data, feature items related useful evaluation screened...
Few-shot learning is devoted to making a deep neural network recognize unseen categories with few labels. Because the number of labeled samples limited, actual data distribution difficult be reflected. As result, model has problems overfitting and poor generalization performance. To solve issues above, augmentation method based on saliency measures feature transformation proposed for few-shot learning. In our method, salient region measure module utilized select discriminative information...