Di Zhou
Orcid: 0000-0002-7798-3098Affiliations:
- Wenzhou University, Wenzhou, Zhejiang, China
According to our database1,
Di Zhou authored at least 12 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Keyphrase-enhanced multi-level heterogeneous text graph construction strategy based graph convolutional neural network for imbalanced aviation report risk analysis.
Reliab. Eng. Syst. Saf., 2026
Intelligent assembly conformance verification for complex products: A rotationally invariant multi-view visual framework.
Robotics Comput. Integr. Manuf., 2026
Visual Intelligence-Guided RFID Multitag Spatial Position Measurement and Reading Performance Optimization.
IEEE Internet Things J., 2026
Dual-attention semi-cycled generative adversarial network data augmentation structure for gearbox fault diagnosis using infrared thermal images.
Eng. Appl. Artif. Intell., 2026
2025
Computer Vision-Aided RFID Tag Group Location Measurement and Reading Performance Prediction Using Graph Transformer Network With Novel Topology Graph Construction Strategy.
IEEE Trans. Instrum. Meas., 2025
A novel sparrow search algorithm based co-correlation graph construction strategy for wind turbine group anomaly identification via graph attention networks.
Reliab. Eng. Syst. Saf., 2025
A novel lightweight model combined with convolutional neural network and transformer for gearbox fault diagnosis using infrared thermal images.
Eng. Appl. Artif. Intell., 2025
2024
An ensemble model using temporal convolution and dual attention gated recurrent unit to analyze risk of civil aircraft.
Expert Syst. Appl., February, 2024
SSGC-GAT: Synergistic Similarity Graph Construction Strategy Combined With GAT Network for Wind Turbine Anomaly Identification Using SCADA Data.
IEEE Trans. Instrum. Meas., 2024
CA-MSPNet: Multiscale Module and Coordinate Attention Mechanism Strategy Combined With ProtoNet for Gearbox Fault Diagnosis Using Limited Infrared Thermal Images Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2024
2022
Reliab. Eng. Syst. Saf., 2022
2020
Deep Learning-Based Approach for Civil Aircraft Hazard Identification and Prediction.
IEEE Access, 2020