Jing Nan

ORCID: 0000-0003-3944-5616
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About
Contact & Profiles
Research Areas
  • Neural Networks and Applications
  • Advanced Sensor and Control Systems
  • Machine Learning and ELM
  • Fault Detection and Control Systems
  • Advanced Algorithms and Applications
  • Natural Language Processing Techniques
  • Advanced Measurement and Metrology Techniques
  • Manufacturing Process and Optimization
  • Image and Video Stabilization
  • Industrial Vision Systems and Defect Detection
  • Industrial Technology and Control Systems
  • Time Series Analysis and Forecasting
  • Brain Tumor Detection and Classification
  • Image Processing and 3D Reconstruction
  • Advanced Numerical Analysis Techniques
  • Translation Studies and Practices
  • Discourse Analysis in Language Studies
  • Advanced Control Systems Optimization
  • Fuzzy Logic and Control Systems
  • Discourse Analysis and Cultural Communication
  • Astronomical Observations and Instrumentation

China University of Mining and Technology
2023-2025

Singapore University of Technology and Design
2023

Nanyang Technological University
2023

The intersection of the Industrial Internet Things (IIoT) and artificial intelligence (AI) has garnered ever-increasing attention research interest. Nevertheless, dilemma between strict resource-constrained nature IIoT devices extensive resource demands AI not yet been fully addressed with a comprehensive solution. Taking advantage lightweight constructive neural network (LightGCNet) in developing fast learner models for IIoT, convex geometric low-complexity control strategy, namely,...

10.1016/j.jai.2024.07.004 article EN cc-by-nc-nd Journal of Automation and Intelligence 2024-07-20

Data-driven soft sensors provide a potentially cost-effective and more accurate modeling approach to measure difficult-to-measure indices in industrial processes compared mechanistic approaches. Artificial intelligence (AI) techniques, such as deep learning, have become popular the area of machine learning big data. However, models based lead complex model structures excessive training time. In addition, often rely on distributed control systems (DCS) characterized by resource constraints....

10.36227/techrxiv.170327263.35375555/v1 preprint EN cc-by 2023-12-22
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