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C. Tropschug

7 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.NI3
  • eess.SP3
  • cs.CR1

identity via Semantic Scholar / OpenAlex

most citedMachine Learning-based Anomaly Detection in Optical Fiber Monitoring

135 citations · 275 across the 7 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2022★ 61 cited

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

Khouloud Abdelli, Helmut Griesser, Carsten Tropschug +1

Optical time-domain reflectometry (OTDR) has been widely used for characterizing fiber optical links and for detecting and locating fiber faults. OTDR traces are prone to be distor…

eess.SP2022★ 10 cited

Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks

Khouloud Abdelli, Florian Azendorf, Helmut Griesser +2

We propose a deep learning approach based on an autoencoder for identifying and localizing fiber faults in passive optical networks. The experimental results show that the proposed…

eess.SP2022★ 16 cited

A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis

Khouloud Abdelli, Helmut Griesser, Carsten Tropschug +1

A novel multitask learning approach based on stacked bidirectional long short-term memory (BiLSTM) networks and convolutional neural networks (CNN) for detecting, locating, charact…

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