NBLSTM: Noisy and Hybrid Convolutional Neural Network and BLSTM-Based Deep Architecture for Remaining Useful Life Estimation.
Ali Al-DulaimiSoheil ZabihiAmir AsifArash MohammedPublished in: J. Comput. Inf. Sci. Eng. (2020)
Keyphrases
- convolutional neural network
- face detection
- management system
- noisy measurements
- multi layer
- real time
- noisy data
- layered architecture
- accurate estimation
- everyday life
- robust estimation
- software architecture
- maximum likelihood
- least squares
- e learning
- estimation accuracy
- deep learning
- artificial intelligence
- machine learning
- databases