Linxin Yuan

ORCID: 0009-0003-8752-4762
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About
Contact & Profiles
Research Areas
  • Photodynamic Therapy Research Studies
  • Porphyrin and Phthalocyanine Chemistry
  • Radical Photochemical Reactions
  • Nanoplatforms for cancer theranostics
  • Catalytic C–H Functionalization Methods
  • Asphalt Pavement Performance Evaluation
  • Infrastructure Maintenance and Monitoring
  • Gene expression and cancer classification
  • Water Quality Monitoring and Analysis
  • Multi-Criteria Decision Making
  • Water Quality Monitoring Technologies
  • Mathematics and Applications
  • Online Learning and Analytics
  • Oxidative Organic Chemistry Reactions
  • Image Retrieval and Classification Techniques
  • Recommender Systems and Techniques
  • Polymer Nanocomposites and Properties

Dalian University of Foreign Languages
2022-2024

Southwest Jiaotong University
2022

Nanjing Normal University
2014-2016

Photochemistry Center
2014

Dalian Maritime University
2003

A general sub-stoichimetric hydrazine hydrate-mediated aerobic oxidative <italic>ipso</italic>-hydroxylation of aryl/heteroaryl boronic acids to phenols.

10.1039/c4ra05589f article EN RSC Advances 2014-01-01

Optimal maintenance decision for a sensor network aims to intelligently determine the optimal repair time. The accuracy of method directly affects reliability and safety network. This paper develops new based on belief rule base considering attribute correlation (BRB-c), which is designed address three challenges: lack observation data, complex system mechanisms, characteristic correlation. consists two sections: health state assessment model prediction model. Firstly, former accomplished...

10.1155/2024/6616366 article EN International Journal of Intelligent Systems 2024-04-27

With the rapid development of Internet technology, online learning has become one main ways for people to acquire knowledge. How students can study independently and efficiently through a problem which is worthy attention consideration. Firstly, material difficulty coefficient prediction algorithm was proposed. Secondly, an e-Iearning predicted by using multiple linear regression Backpropagation neural network model on data, collaborative filtering recommendation materials carried out...

10.1109/iaeac54830.2022.9929781 article EN 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) 2022-10-03
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