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Dr. Mohammad Azam Khan
Associate Professor

Curriculum vitae



+8801715444441


Computing and Information System

Daffodil International University

Address:
Room # 714
Knowledge Tower (Level - 7)
DIU, DSC, Birulia, Ashulia, Savar, Dhaka-1216.
Bangladesh.



Intelligent fault detection using raw vibration signals via dilated convolutional neural networks


Journal article


Mohammad Azam Khan, Yong-Hwa Kim, J. Choo
Journal of Supercomputing, 2018

Semantic Scholar DBLP DOI
Cite

Cite

APA   Click to copy
Khan, M. A., Kim, Y.-H., & Choo, J. (2018). Intelligent fault detection using raw vibration signals via dilated convolutional neural networks. Journal of Supercomputing.


Chicago/Turabian   Click to copy
Khan, Mohammad Azam, Yong-Hwa Kim, and J. Choo. “Intelligent Fault Detection Using Raw Vibration Signals via Dilated Convolutional Neural Networks.” Journal of Supercomputing (2018).


MLA   Click to copy
Khan, Mohammad Azam, et al. “Intelligent Fault Detection Using Raw Vibration Signals via Dilated Convolutional Neural Networks.” Journal of Supercomputing, 2018.


BibTeX   Click to copy

@article{mohammad2018a,
  title = {Intelligent fault detection using raw vibration signals via dilated convolutional neural networks},
  year = {2018},
  journal = {Journal of Supercomputing},
  author = {Khan, Mohammad Azam and Kim, Yong-Hwa and Choo, J.}
}


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