Dongkai Zhang
Orcid: 0000-0002-9050-2447
According to our database1,
Dongkai Zhang authored at least 28 papers
between 2009 and 2026.
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Bibliography
2026
Multi-object tracking in the low-light with two-stage association and denoising based on image feature enhancement.
Multim. Syst., February, 2026
DBCFNet: Underwater image enhancement network based on dual branch convolution and cross level feature fusion.
J. Vis. Commun. Image Represent., 2026
2025
CoRR, April, 2025
Int. J. Comput. Sci. Math., 2025
Cost-effectiveness oriented maintenance and inspection policy optimisation strategy for high-speed overhead contact lines.
Int. J. Bio Inspired Comput., 2025
A crack detection method based on structure perception for drop brackets and swivel clevises in catenary system.
Comput. Aided Civ. Infrastructure Eng., 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
2024
Robust deep Gaussian process-based trustworthy fog-haze-caused pollution flashover prediction approach for overhead contact lines.
Reliab. Eng. Syst. Saf., March, 2024
Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines.
Reliab. Eng. Syst. Saf., February, 2024
A Real-Time Siamese Network Based on Knowledge Distillation for Insulator Defect Detection of Overhead Contact Lines.
IEEE Trans. Instrum. Meas., 2024
2023
A data-driven integrated framework for predictive probabilistic risk analytics of overhead contact lines based on dynamic Bayesian network.
Reliab. Eng. Syst. Saf., July, 2023
Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model.
Reliab. Eng. Syst. Saf., 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Adaptive Deep Learning for High-Speed Railway Catenary Swivel Clevis Defects Detection.
IEEE Trans. Intell. Transp. Syst., 2022
Defect Severity Identification for a Catenary System Based on Deep Semantic Learning.
Sensors, 2022
Predicting wind-caused floater intrusion risk for overhead contact lines based on Bayesian neural network with spatiotemporal correlation analysis.
Reliab. Eng. Syst. Saf., 2022
2021
DefGAN: Defect Detection GANs With Latent Space Pitting for High-Speed Railway Insulator.
IEEE Trans. Instrum. Meas., 2021
2020
A Robust Pantograph-Catenary Interaction Condition Monitoring Method Based on Deep Convolutional Network.
IEEE Trans. Instrum. Meas., 2020
J. Intell. Robotic Syst., 2020
2019
Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning.
IEEE Trans. Instrum. Meas., 2019
An Efficient Method for High-Speed Railway Dropper Fault Detection Based on Depthwise Separable Convolution.
IEEE Access, 2019
Contact Wire Support Defect Detection Using Deep Bayesian Segmentation Neural Networks and Prior Geometric Knowledge.
IEEE Access, 2019
2018
An Accurate and Efficient Vision Measurement Approach for Railway Catenary Geometry Parameters.
IEEE Trans. Instrum. Meas., 2018
2014
State-feedback stabilisation for stochastic non-holonomic mobile robots with uncertain visual servoing parameters.
Int. J. Syst. Sci., 2014
2012
State-feedback stabilisation for stochastic non-holonomic systems with Markovian switching.
Int. J. Model. Identif. Control., 2012
The local existence and uniqueness of solutions for fuzzy functional Volterra integral equations.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2010
Global existence of solutions for fuzzy second-order differential equations under generalized H-differentiability.
Comput. Math. Appl., 2010
2009
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009