A5103074858- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Advanced Computational Techniques and Applications
- Biomedical Text Mining and Ontologies
- Advanced Text Analysis Techniques
- Traditional Chinese Medicine Studies
- Lanthanide and Transition Metal Complexes
- Data Management and Algorithms
- Advanced Decision-Making Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Smart Grid Security and Resilience
- Domain Adaptation and Few-Shot Learning
- Flow Measurement and Analysis
- Metal-Catalyzed Oxygenation Mechanisms
- Computer Graphics and Visualization Techniques
- Machine Learning in Healthcare
- Higher Education and Teaching Methods
- Water Quality and Pollution Assessment
- Structural Health Monitoring Techniques
- Peer-to-Peer Network Technologies
- Regional Development and Environment
- Internet Traffic Analysis and Secure E-voting
- Scheduling and Timetabling Solutions
- Data Mining Algorithms and Applications
- Educational Technology and Assessment
Wuhan University
2010-2023
Jiangxi University of Traditional Chinese Medicine
2006-2023
University of Chinese Academy of Sciences
2016-2022
Chinese Academy of Sciences
2018-2022
Shenzhen Institutes of Advanced Technology
2022
Shandong University
2019
Fujian Institute of Research on the Structure of Matter
2018
Tianjin Open University
2013-2014
C3J Therapeutics (United States)
2005
We herein present a rarely seen (3,4)-connected non-interpenetrated anionic uranium-organic framework with tbo topology (FJI–H-U1), which is constructed from two kinds of ultralarge nanocages. More importantly, FJI–H-U1 can selectively adsorb positively charged organic dyes Ethyl Violet, Janus Green B, and Rhodamine B over the dye Methyl Orange due to nature its framework.
Traffic classification is essential for cybersecurity maintenance and network management, has been widely used in QoS (Quality of Service) guarantees, intrusion detection, other tasks. Recently, with the emergence SSL/TLS encryption protocols modern Internet environment, traditional payload-based methods are no longer effective. Some researchers have machine learning to model flow features encrypted traffics (e.g. message type, length sequence, statistical features, etc.), achieved good...
It is well known that enormous computational power and a mass of memory are needed in deep neural networks. That makes them difficult to apply resource-limited environments. Therefore, many network compression acceleration technologies have come out, among which connection pruning widely applied due its effectiveness convenience. A novel method with full model capacity on multiple sparse structures proposed this paper. We design simple efficient function called Dynamic Processing Unit (DPU)...
The electronic medical records (EMRs) of traditional Chinese medicine (TCM) include a wealth TCM knowledge and syndrome diagnosis information, which is crucial for improving the quality auxiliary decision-making. In practical diagnosis, one disease corresponds to syndrome, posing considerable hurdles informatization TCM. purpose this work was create an end-to-end diagnostic model, graph (KG) created in article used improve model's information realize decision-making disorders. We approached...
Springs are a source of drinking water and famous tourist attraction in Jinan, China. In this paper, multi-index evaluation method was proposed based on normal cloud model. This model is new graphic model, which could synthetically picture the randomness fuzziness concepts. Ten parameters were selected, quality classified into five levels. Three numerical characteristics calculated, weights assigned by an integrated weighting algorithm. The uncertainty each spring calculated generator...
<abstract> <p>In traditional Chinese medicine (TCM), artificial intelligence (AI)-assisted syndrome differentiation and disease diagnoses primarily confront the challenges of accurate symptom identification classification. This study introduces a multi-label entity extraction model grounded in TCM ontology, specifically designed to address limitations existing recognition models characterized by limited label spaces an insufficient integration domain knowledge. synergizes...
With the comprehensive application of airborne laser radar system, data organization and management in three-dimensional point-cloud become a hot point computer. This paper proposed multi-precision partial KD tree index based on database to solve problem huge management. technique partition model into small disjoint blocks, which points are reorganized as new tree, build something like Level Detail Model. It's introduced concept screen precision for its realization. The written follow layer...
With the rapid development of Internet Technology, traditional database system can no longer meet demands massive data access. Cluster technology has been widely used in internet applications. This dissertation started from analyzing some technologies clusters. Aiming at specific context, this designed a reusable load balancing framework which uses an adaption consistency hashing algorithm as strategy balancing.
After implementing the open laboratory, students can make self-adjustments to their learning plans and choose different levels of experiments according degree, which will change traditional passive into active learning. From management reality employing ASP NET SQL Server 2008 develop an opening laboratory system is based on Web. This has realized course scheduling algorithm efficient reserve do own time.
<sec> <title>BACKGROUND</title> In the realm of AI-assisted traditional Chinese medicine (TCM) syndrome differentiation and disease diagnosis, precise symptom recognition classification pose significant challenges. This is because TCM heavily relies on a nuanced understanding symptoms to guide treatment decisions. However, current entity models grapple with range issues, including limitations stemming from label space, resource-intensive computations, lack domain expertise cover diverse...