Hanting Zhou

Orcid: 0000-0003-2826-4385

According to our database1, Hanting Zhou authored at least 17 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Dual Co-Occurrence Multi-Layer Convolutional Neural Network for Recommendation System.
IEICE Trans. Inf. Syst., 2026

An attribute-conditioned diffusion generative enhancement method for industrial fault diagnosis under data imbalance.
Comput. Chem. Eng., 2026

TDAFDNet: A trustworthy data-augmented network for few shot fault diagnosis and noise interference.
Appl. Soft Comput., 2026

2025
Graph convolutional neural network recommendation system with feature enhancement based on collaborative filtering.
KSII Trans. Internet Inf. Syst., November, 2025

AttCWKAN: A Novel Convolution Weighted Kolmogorov-Arnold Networks With Attention Mechanism for Wind Turbine Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025

An adaptive method for determining the optimal number of topics in topic modeling.
PeerJ Comput. Sci., 2025

2024
A Novel State-of-Charge Estimation Method for Lithium-Ion Battery Using GDAformer and Online Correction.
IEEE Trans. Ind. Informatics, November, 2024

Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network.
J. Intell. Manuf., October, 2024

Reliability modeling and warranty optimization for products with self-healing under a dynamic shock environment.
Reliab. Eng. Syst. Saf., 2024

Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference.
Knowl. Based Syst., 2024

2023
Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN.
Int. J. Prod. Res., December, 2023

Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks.
IEEE Trans. Ind. Informatics, November, 2023

Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks.
IEEE Trans. Instrum. Meas., 2023

Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance.
IEEE Trans. Instrum. Meas., 2023

Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance.
Eng. Appl. Artif. Intell., 2023

2022
Mahalanobis-Taguchi system: a systematic review from theory to application.
J. Control. Decis., 2022

Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance.
Complex., 2022


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