High Performance Breast Cancer Diagnosis From Mammograms Using Mixture of Experts With EfficientNet Features (MoEffNet).
IEEE Access, 2024
Colour Clustering and Deep Transfer Learning Techniques for Breast Cancer Detection Using Mammography Images.
Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023
Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission.
Sensors, 2022
Intrinsic Dimension Estimation-Based Feature Selection and Multinomial Logistic Regression for Classification of Bearing Faults Using Compressively Sampled Vibration Signals.
Entropy, 2022
Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method.
Sensors, 2021
Fault Detection and Classification in MMC-HVDC Systems Using Learning Methods.
Sensors, 2020
Three-Stage Hybrid Fault Diagnosis for Rolling Bearings With Compressively Sampled Data and Subspace Learning Techniques.
IEEE Trans. Ind. Electron., 2019
Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals.
IEEE Access, 2018
Classification of bearing faults combining compressive sampling, laplacian score, and support vector machine.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Multiple measurement vector compressive sampling and fisher score feature selection for fault classification of roller bearings.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
Compressive sensing strategy for classification of bearing faults.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Detection of IAD based on personality questionnaires of Chinese college students and SVMs.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
Effects of deep neural network parameters on classification of bearing faults.
Proceedings of the IECON 2016, 2016