"NBLSTM: Noisy and Hybrid Convolutional Neural Network and BLSTM-Based Deep ..."

Ali Al-Dulaimi et al. (2020)

> Home

Details and statistics

DOI: 10.1115/1.4045491

access: closed

type: Journal Article

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcise/Al-DulaimiZAM20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcise/Al-DulaimiZAM20
Ali Al-Dulaimi, Soheil Zabihi, Amir Asif, Arash Mohammed:
NBLSTM: Noisy and Hybrid Convolutional Neural Network and BLSTM-Based Deep Architecture for Remaining Useful Life Estimation. J. Comput. Inf. Sci. Eng. 20(2) (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.