- E-commerce and Technology Innovations
- Higher Education and Teaching Methods
- Advanced Image and Video Retrieval Techniques
- Network Security and Intrusion Detection
- Advanced Data Compression Techniques
- Remote-Sensing Image Classification
- Domain Adaptation and Few-Shot Learning
- Advanced Decision-Making Techniques
- Image Retrieval and Classification Techniques
- Cholinesterase and Neurodegenerative Diseases
- Technology and Security Systems
- Internet Traffic Analysis and Secure E-voting
- Metal-Organic Frameworks: Synthesis and Applications
- Multimodal Machine Learning Applications
- Caching and Content Delivery
- Advanced MRI Techniques and Applications
- Advanced Computing and Algorithms
- Carbon and Quantum Dots Applications
- Algorithms and Data Compression
- Video Surveillance and Tracking Methods
- Educational Reforms and Innovations
- Digital Transformation in Industry
- Software-Defined Networks and 5G
- Remote Sensing and Land Use
- Polyoxometalates: Synthesis and Applications
Institute of Software
2024
Northeast Forestry University
2022-2024
National Earthquake Response Support Service
2024
China Industrial Control Systems Cyber Emergency Response Team
2024
China University of Petroleum, East China
2019-2024
Hunan Normal University
2019
Anyang Institute of Technology
2015
Kunming University
2011-2015
Institute of Technology of Cambodia
2015
Jiangsu Police Officer College
2015
Acetylcholinesterase (AChE) plays a vital role in nerve conduction through rapidly hydrolyzing the neurotransmitter acetylcholine (ACh) and is correlated with Alzheimer's disease. In this work, label-free single-particle enumeration (SPE) method for quantitative detection of acetylcholinesterase activity developed. The design based on fluorescence resonance energy transfer (FRET) between fluorescent conjugated polymer nanoparticles (FCPNPs) MnO2 nanosheets. FCPNPs can be effectively quenched...
Visual Grounding has a broad application prospect in the field of remote sensing. Current state-of-the-art methods predominantly are based on transformer architecture, utilizing multi-head self-attention multi-modal encoders to integrate visual and textual features. However, they typically rely single fusion approach, which may limit model’s capacity learn intricate correlations between semantics information. Moreover, did not establish direct dependency features bounding box...
The main goal of this study is to evaluate the practicability a single breath-hold whole-heart coverage compressed sensing cine sequence in daily CMR examination, moreover, optimize scanning procedure for patients with different kinds cardiac dysfunction. For patients, especially those are diagnosed chronic heart failure, CS can substantially shorten time and provide reliable function parameters comparing routine bSSFP cine. This sequences recommended be used before contrast injection...
In this paper, the context quantization for I-ary source based on affinity propagation algorithm is presented. algorithm, design objective of quantizer aimed to minimize adaptive code length sequence. purpose finding optimal number classes, increment suggested be similarity measure two conditional probability distributions, by which matrix constructed as input algorithm. After given iterations, with classes achieved and minimized at same time. The simulations indicate that proposed produces...
In this paper, one new similarity measure which holds better mathematical description is given and discussed in details.The increment of the amazing measure, denotes between two count vectors paper its corresponding properties are also explained.We give analysis proof to explain efficiency proposed measure.The experimental results indicate that when using , for different applications can be optimized.
The adoption of network technology for control and measurement makes Industrial Control Systems (ICSs) Internet Things (IoTs) more powerful, whose communication data plays an important role to realize intercommunication sharing. However, have different characteristics, even if the same protocol is used in ICS or IT, characteristics modes are quite different. In order understand difference between internet industrial ethernet, this paper, we conduct a series experiments that use information...
Taking advantage of the ability to use arbitrary features as input in CRFs, action POS used task Chinese personal name recognition was discussed based on Conditional Random Fields character level. According possible expressions and same feature template multiple experiments token by sequence labeling common corpus, which were done similar experiment environment with applications such non-POS, first level, second level every combined word borders. By comparing analyzing results experiments,...
With the development of times and science technique, new media such as Tik Tok has become an effective way cultural communication.They have a significant impact on disseminating intangible heritage.As one important components heritage, traditional handicraft is also faced with many opportunities challenges in era.This paper mainly adopts case study questionnaire survey to discuss influence significance Tok's participation including bronze carving skills, Qiao family handmade leather Art,...