Fusing spatial and frequency features for compositional zero-shot image classification DOI
Suyi Li, Chenyi Jiang, Qiaolin Ye

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 258, P. 125230 - 125230

Published: Aug. 28, 2024

Language: Английский

A novel zero-shot learning approach for cross-domain fault diagnosis in high-voltage circuit breakers DOI
Qiuyu Yang,

Zhenlin Zhai,

Yuyi Lin

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102777 - 102777

Published: Aug. 29, 2024

Language: Английский

Citations

4
Deep Consistent Penalizing Hashing with noise-robust representation for large-scale image retrieval DOI
Qibing Qin, Hong Wang,

Wenfeng Zhang

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 130014 - 130014

Published: March 1, 2025

Language: Английский

Citations

0
Enhancing Fault Diagnosis in Mechanical Systems with Graph Neural Networks Addressing Class Imbalance DOI Creative Commons
Wenhao Lu, Wei Wang, Xuefei Qin

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(13), P. 2064 - 2064

Published: July 1, 2024

Recent advancements in intelligent diagnosis rely heavily on data-driven methods. However, these methods often encounter challenges adequately addressing class imbalances the context of fault mechanical systems. This paper proposes MeanRadius-SMOTE graph neural network (MRS-GNN), a novel framework designed to synthesize node representations GNNs effectively mitigate this issue. Through integrating oversampling technique into GNN architecture, MRS-GNN demonstrates an enhanced capability learn from under-represented classes while preserving intrinsic connectivity patterns data. Comprehensive testing various datasets superiority over traditional terms classification accuracy and handling imbalances. The experimental results three publicly available show that improves by 18 percentage points compared some popular Furthermore, exhibits higher robustness extreme imbalance scenarios, achieving AUC-ROC value 0.904 when rate is 0.4. not only enhances but also offers scalable solution applicable diverse complex systems, demonstrating its utility adaptability operating environments conditions.

Language: Английский

Citations

2
Prior semantic-embedding representation learning for on-the-fly FG-SBIR DOI
Yingge Liu,

Dawei Dai,

Kenan Zou

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124532 - 124532

Published: Dec. 1, 2024

Language: Английский

Citations

0
Fusing spatial and frequency features for compositional zero-shot image classification DOI
Suyi Li, Chenyi Jiang, Qiaolin Ye

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 258, P. 125230 - 125230

Published: Aug. 28, 2024

Language: Английский

Citations

0