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Duy-Tang Hoang
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2020 – today
- 2022
- [j6]Changgwon Dang, Taejeong Choi, Seungsoo Lee, Soohyun Lee, Mahboob Alam, Sangmin Lee, Seungkyu Han, Duy-Tang Hoang, Jaegu Lee, Duc Toan Nguyen:
Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework. Sensors 22(23): 9325 (2022) - 2021
- [j5]Duy-Tang Hoang, Xuan-Toa Tran, Mien Van, Hee-Jun Kang:
A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis. Sensors 21(1): 244 (2021) - 2020
- [j4]Mien Van, Duy-Tang Hoang, Hee-Jun Kang:
Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier. Sensors 20(12): 3422 (2020) - [j3]Duy-Tang Hoang, Hee-Jun Kang:
A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion. IEEE Trans. Instrum. Meas. 69(6): 3325-3333 (2020)
2010 – 2019
- 2019
- [j2]Duy-Tang Hoang, Hee-Jun Kang:
Rolling element bearing fault diagnosis using convolutional neural network and vibration image. Cogn. Syst. Res. 53: 42-50 (2019) - [j1]Duy-Tang Hoang, Hee-Jun Kang:
A survey on Deep Learning based bearing fault diagnosis. Neurocomputing 335: 327-335 (2019) - [c5]Duy-Tang Hoang, Hee-Jun Kang:
Rotary Machine Fault Diagnosis Using Scalogram Image and Convolutional Neural Network with Batch Normalization. ICIC (3) 2019: 283-293 - 2018
- [c4]Duy-Tang Hoang, Hee-Jun Kang:
A Bearing Fault Diagnosis Method Based on Autoencoder and Particle Swarm Optimization - Support Vector Machine. ICIC (1) 2018: 298-308 - [c3]Duy-Tang Hoang, Hee-Jun Kang:
Deep Belief Network and Dempster-Shafer Evidence Theory for Bearing Fault Diagnosis. ISIE 2018: 841-846 - 2017
- [c2]Duy-Tang Hoang, Hee-Jun Kang:
Convolutional Neural Network Based Bearing Fault Diagnosis. ICIC (2) 2017: 105-111 - 2016
- [c1]Duy-Tang Hoang, Hee-Jun Kang:
Fuzzy Neural Sliding Mode Control for Robot Manipulator. ICIC (3) 2016: 541-550
Coauthor Index
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