Chengyuan Zhu
Orcid: 0009-0001-7317-682X
According to our database1,
Chengyuan Zhu
authored at least 17 papers
between 2019 and 2025.
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Bibliography
2025
IEEE Trans. Circuits Syst. II Express Briefs, August, 2025
Artif. Intell. Rev., August, 2025
Anomaly detection for non-stationary rotating machinery based on signal transform and memory-guided multi-scale feature reconstruction.
Eng. Appl. Artif. Intell., 2025
2024
A Lightweight Pipeline Edge Detection Model Based on Heterogeneous Knowledge Distillation.
IEEE Trans. Circuits Syst. II Express Briefs, December, 2024
A Novel Multiscale Transformer Network Framework for Natural Gas Consumption Forecasting.
IEEE Trans. Ind. Informatics, August, 2024
A Novel Visual Transformer for Long-Distance Pipeline Pattern Recognition in Complex Environment.
IEEE Trans. Artif. Intell., June, 2024
Two-Stage Intrusion Events Recognition for Vibration Signals From Distributed Optical Fiber Sensors.
IEEE Trans. Instrum. Meas., 2024
Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety.
Knowl. Based Syst., 2024
Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing.
Adv. Eng. Informatics, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Integration frameworks and intelligent research in dynamic fault tree: A comprehensive review and future perspectives.
Qual. Reliab. Eng. Int., November, 2023
Distributed Optical Fiber Intrusion Detection by Image Encoding and SwinT in Multi-Interference Environment of Long-Distance Pipeline.
IEEE Trans. Instrum. Meas., 2023
A Novel AMSS-FFN for Underwater Multisource Localization Using Artificial Lateral Line.
IEEE Trans. Instrum. Meas., 2023
Long-Distance Pipeline Intrusion Warning Based on Environment Embedding from Distributed Optical Fiber Sensing.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
Qual. Reliab. Eng. Int., 2022
2019
Segmenting localized corrosion from rust-removed metallic surface with deep learning algorithm.
J. Electronic Imaging, 2019