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Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace
  Based on Denoising Convolutional Autoencoder and Bidirectional Long
  Short-Term Memory

Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory

19 March 2022
K. Abdelli
H. Griesser
C. Tropschug
S. Pachnicke
ArXiv (abs)PDFHTML

Papers citing "Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory"

4 / 4 papers shown
Title
Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis
  in Passive Optical Networks
Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks
K. Abdelli
Florian Azendorf
H. Griesser
C. Tropschug
S. Pachnicke
49
8
0
19 Mar 2022
Reflective Fiber Faults Detection and Characterization Using
  Long-Short-Term Memory
Reflective Fiber Faults Detection and Characterization Using Long-Short-Term Memory
K. Abdelli
H. Griesser
Peter Ehrle
C. Tropschug
S. Pachnicke
27
19
0
19 Mar 2022
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
243
793
0
13 Mar 2020
Probabilistic Random Forest: A machine learning algorithm for noisy
  datasets
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
I. Reis
D. Baron
Sahar Shahaf
31
123
0
14 Nov 2018
1