Qian Cao

ORCID: 0009-0009-4152-6918
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About
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Research Areas
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Anomaly Detection Techniques and Applications
  • Fire Detection and Safety Systems
  • Video Surveillance and Tracking Methods
  • Advanced Text Analysis Techniques
  • Mental Health via Writing
  • Time Series Analysis and Forecasting
  • Hate Speech and Cyberbullying Detection

Nanjing University of Information Science and Technology
2025

Huzhou University
2022

Classroom behavior detection is a key task in constructing intelligent educational environments. However, the existing models are still deficient detail feature capture capability, multi-layer correlation, and multi-scale target adaptability, making it challenging to realize high-precision real-time complex scenes. This paper proposes an improved classroom algorithm, YOLO-AMM, solve these problems. Firstly, we constructed Adaptive Efficient Feature Fusion (AEFF) module enhance fusion of...

10.3390/s25041142 article EN cc-by Sensors 2025-02-13

The SCHISM model is widely used for ocean numerical simulations, but its computational efficiency constrained by the substantial resources it requires. To enhance performance, this study develops GPU–SCHISM, a GPU-accelerated parallel version of using CUDA Fortran framework, and evaluates acceleration performance on single GPU-enabled node. research results demonstrate that GPU–SCHISM achieves while maintaining high simulation accuracy. For small-scale classical experiments, GPU improves...

10.3390/jmse13040662 article EN cc-by Journal of Marine Science and Engineering 2025-03-26

10.5281/zenodo.6369297 article EN cc-by Zenodo (CERN European Organization for Nuclear Research) 2022-03-18
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