Shaoyuan Weng

ORCID: 0000-0003-3644-8029
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Educational Technology and Assessment
  • Online Learning and Analytics
  • Software System Performance and Reliability
  • Energy Load and Power Forecasting
  • Digital Transformation in Industry
  • Neural Networks and Applications
  • Collaboration in agile enterprises
  • Face and Expression Recognition
  • Advanced Data Compression Techniques
  • Infrastructure Maintenance and Monitoring
  • Psychological Well-being and Life Satisfaction
  • Service-Oriented Architecture and Web Services
  • Anomaly Detection Techniques and Applications
  • Advanced Clustering Algorithms Research
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Air Quality Monitoring and Forecasting

Xiamen University of Technology
2024

Institute of Software
2024

Huaqiao University
2019-2020

Happiness refers to an emotional state of well-being and contentment. Accurate prediction happiness is important for people in promoting a healthy lifestyle, helping reduce stress, enhancing humans' immune system. In this paper, we propose novel fuzzy feature generation approach prediction. We design weighted operation based on the IF-THEN rules generate feature. This generated (new information) added model training achieve more accurate model. addition, considering high interpretability...

10.1109/tetci.2024.3353592 article EN IEEE Transactions on Emerging Topics in Computational Intelligence 2024-01-24

Student performance prediction is vital for identifying at-risk students and providing support to help them succeed academically. In this paper, we propose a feature importance-based multi-layer CatBoost approach predict the students' grade in period exam. The idea construct structure with increasingly important features layer by layer. Specifically, importance are first calculated sorted ascending order. each layer, least accumulated until reaching given threshold. Then, these selected used...

10.1109/tkde.2024.3393472 article EN IEEE Transactions on Knowledge and Data Engineering 2024-05-03

In distributed cloud manufacturing (CMfg) systems, multi-resource service can complete more complex tasks than single resource service. Especially in business process, all the services are invoked a certain sequence, which is called Resource-Service Chain (RSC). The RSC, as sequential composition of services, expresses scheduling and flow servicing to process. A perfect improve utilization ratio efficient matching availability greatly. However, most existing methods for paid no attention...

10.1109/access.2020.2969234 article EN cc-by IEEE Access 2020-01-01

10.1007/s13042-024-02104-8 article EN International Journal of Machine Learning and Cybernetics 2024-03-04

In the Internet of Things (IoT), online performance many services is determined by their distribution resources, which are connected to different devices. The expected a resource service primarily depends on optimal use in satisfying end-to-end quality requirements support its successful execution. Therefore, dynamic and should be discovered as benchmark detect anomaly online. A referred business because it usage. measured (QoS) that possessed service. this paper, an approach based QoS...

10.1109/access.2019.2953283 article EN cc-by IEEE Access 2019-01-01

Concrete is a vital component in modern construction, prized for its strength, durability, and versatility. Accurately determining the quantities of concrete components crucial civil engineering applications to optimize resources (e.g., manpower financial resources). In this article, we propose an unbiased Fuzzy-Weighted Relative Error Support Vector Machine (UFW-RE-SVM) reverse prediction components. First, add term target function UFW-RE-SVM obtaining model. Second, design fuzzy-weighted...

10.1109/tai.2024.3385386 article EN IEEE Transactions on Artificial Intelligence 2024-04-05
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