Duy-Tang Hoang

Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework

Duc Toan Nguyen, Tae-Jung Choi, Seungsoo Lee, 2022, Sensors (Basel, Switzerland).

A Bearing Fault Diagnosis Method Using Multi-Branch Deep Neural Network

Hee-Jun Kang, Xuan-Toa Tran, Mien Van, 2021, Machines.

Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier

Mien Van, Duy Tang Hoang, Hee Jun Kang, 2020, Sensors.

A survey on Deep Learning based bearing fault diagnosis

Hee-Jun Kang, Duy-Tang Hoang, Hee-Jun Kang, 2019, Neurocomputing.

A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion

Hee-Jun Kang, Duy Tang Hoang, Hee-Jun Kang, 2020, IEEE Transactions on Instrumentation and Measurement.

Rolling element bearing fault diagnosis using convolutional neural network and vibration image

Hee-Jun Kang, Duy-Tang Hoang, Hee-Jun Kang, 2019, Cognitive Systems Research.

A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis

Mien Van, Duy Tang Hoang, Hee Jun Kang, 2021, Sensors.

Deep Belief Network and Dempster-Shafer Evidence Theory for Bearing Fault Diagnosis

Hee-Jun Kang, Duy-Tang Hoang, Hee-Jun Kang, 2018, ISIE.

Rolling element bearing fault diagnosis using convolutional neural network and vibration image

Hee-Jun Kang, Duy-Tang Hoang, 2019, Cognitive Systems Research.