A5100760898- Cryptography and Data Security
- Advanced Steganography and Watermarking Techniques
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Quantum Mechanics and Applications
- Digital Rights Management and Security
- Web Data Mining and Analysis
- Advanced Text Analysis Techniques
- Advanced Computational Techniques and Applications
- Caching and Content Delivery
- Rough Sets and Fuzzy Logic
- Peer-to-Peer Network Technologies
- Topic Modeling
- Music and Audio Processing
- Advanced Image Fusion Techniques
- Video Analysis and Summarization
- Recommender Systems and Techniques
- Image and Video Quality Assessment
- Cloud Computing and Resource Management
- Formal Methods in Verification
- Speech and Audio Processing
- Service-Oriented Architecture and Web Services
- Distributed and Parallel Computing Systems
- Complex Network Analysis Techniques
- Image Retrieval and Classification Techniques
Huzhou Central Hospital
2024-2025
Zhejiang Chinese Medical University
2024-2025
Huzhou University
2024-2025
Communication University of China
2015-2024
Southwest Jiaotong University
2024
State Key Laboratory of Media Convergence and Communication
2024
Shandong First Medical University
2024
China Aerospace Science and Technology Corporation
2023
Ningbo University of Technology
2021
Guangdong University of Finance
2019-2020
In this paper, a quantum private comparison protocol is proposed based on bell entangled states. our protocol, two parties can compare the equality of their information with help semi-honest third party. The correctness and security are discussed. One party cannot learn other's also any about information.
Recent years people have witnessed a surge of interest in APT attack, due to its complex and persistent attack characteristics. In order prevent attacks, this article studies analyzes large number cases which been disclosed, gives an overview lifecycle techniques. This paper discusses the purposes attacks characteristics each stage, proposes concept stage model from authors own work.
Elderly acute kidney injury (AKI) occurring in the intensive care unit (ICU), particularly when caused or accompanied by sepsis, is linked to extended hospital stays, increased mortality rates, heightened prevalence of chronic diseases, and diminished quality life. This study primarily utilizes a comprehensive critical database examine correlation albumin corrected anion gap (ACAG) levels with short-term prognosis elderly patients AKI thus assisting physicians early identification high-risk...
Pore structures provide extra freedoms for the design of porous media, leading to desirable properties, such as high catalytic rate, energy storage efficiency, and specific strength. This unfortunately makes media susceptible failure. Deep understanding failure mechanism in microstructures is a key customizing high-performance crack-resistant media. However, solving fracture problem materials computationally intractable due highly complicated configurations microstructures. To bridge...
The feature selection algorithm can select the optimal subset from lots of music features about genre classification, removing irrelevant and redundant to reduce number improving accuracy performance classification. A based on ReliefF Sequential Forward Selection (SFS), which is called "ReliefF-SFS algorithm", proposed in this paper. It improve SFS - ReiefF remove some low weights but owning better classification results combined with other features, have performance, being not suitable for...
With the rise of neural networks in recent years, Word2vec, a tool based on networks, has been widely used. as new technology for natural language processing, whose appearance made word expression computers major breakthrough. At same time, more and people are keen sports news because development national fitness exercise our country. However, existence professional jargon makes it obscure to ordinary readers. In this paper, Word2vec was applied news, used explore Chinese corpus keyword...
Most existing object tracking research focuses on pedestrians and autonomous driving while ignoring sports scenes. When general models are used for ball tracking, there often problems, such as detection omissions due to small sizes trajectory loss occlusion. To address these challenges, we propose a model called HMMATrack based multiscale feature enhancement multilevel collaborative matching improve ball-tracking results from the entire process of sampling, extraction, detection, tracking....
Detecting small objects is often impeded by blurriness and low resolution, which poses substantial challenges for accurately detecting localizing such objects. Balls players in sports competition videos are more difficult to detect because of motion blur. game that due To tackle this challenge, we propose a object detection backbone network named VHNet based on vertical horizontal information flow scenarios. In order verify the effectiveness our network, manually annotated ball data set...
To construct and evaluate a predictive model for in-hospital mortality among critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT), based on nine machine learning (ML) algorithm.