Kai Sun

ORCID: 0000-0002-3178-2282
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About
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Research Areas
  • Photovoltaic System Optimization Techniques
  • COVID-19 diagnosis using AI
  • Electrical Fault Detection and Protection
  • Infrastructure Maintenance and Monitoring
  • Solar Radiation and Photovoltaics
  • Anomaly Detection Techniques and Applications
  • Smart Parking Systems Research
  • Artificial Intelligence in Healthcare
  • Photovoltaic Systems and Sustainability
  • Power System Reliability and Maintenance
  • solar cell performance optimization
  • Vehicle License Plate Recognition
  • Advanced Battery Technologies Research

Tsinghua University
2023

Chongqing University of Technology
2022

Abstract Photovoltaic (PV) modules are prone to short circuits, open cracks, which can bring serious harmful effects. It is difficult establish the corresponding PV fault models diagnose status of strings. The paper proposes a machine learning‐based stacking classifier (MLSC) for accurate diagnosis Specifically, operating state modules, parameter sensitivity algorithm used analyze impact characteristic factors on characteristics modules. Then based (irradiance, temperature, current, and...

10.1049/rpg2.12755 article EN cc-by IET Renewable Power Generation 2023-05-16

Deep learning-based object detection techniques have been developed, and they can help medical practitioners to identify diagnose chest abnormalities. However, algorithms for anomaly are constrained by the imbalanced number of label categories irregular shape anomalous regions with obscure feature boundaries.

10.1109/bibm55620.2022.9995687 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022-12-06

Traditional computer vision methods are used in the urban road environment, but they vulnerable to environmental information interference and have low detection accuracy. To solve this problem, a multi-sensor method with strong anti-interference ability desired accuracy is proposed paper. In method, TensorFlow SSD-based deep learning determine approximate position of parking space on panoramic image marked rectangular box. box, grayscale, filtering, morphological open operation, binarization...

10.1177/09544070221085963 article EN Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 2022-03-24

Hot spots of solar cells are one the most probable failures during operation PV(Photovoltaic) systems. spot can lead to loss power generation as well economic benefits PV plant, and if not dealt with in time, it will bring hidden danger safe stable plant. Existing studies have shown that detection hot by mechanism model modules faces many difficulties is accurate. To address above problems, this paper proposes a method for based on image semantic segmentation. Compared other processing...

10.1109/cieec58067.2023.10167018 article EN 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) 2023-05-12
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