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Journal Articles
- 2023
[j3]Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke
:
Faulty branch identification in passive optical networks using machine learning. JOCN 15(4): 187-196 (2023)- 2022
- [j2]Khouloud Abdelli, Joo Yeon Cho, Florian Azendorf, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke:
Machine-learning-based anomaly detection in optical fiber monitoring. JOCN 14(5): 365-375 (2022) - 2021
- [j1]Khouloud Abdelli, Helmut Grießer, Peter Ehrle, Carsten Tropschug, Stephan Pachnicke:
Reflective fiber fault detection and characterization using long short-term memory. JOCN 13(10): E32-E41 (2021)
Conference and Workshop Papers
- 2023
- [c5]Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke:
Fault Monitoring in Passive Optical Networks using Machine Learning Techniques. ICTON 2023: 1-5 - [c4]Khouloud Abdelli, Carsten Tropschug, Helmut Grießer, Sander Jansen, Stephan Pachnicke:
Branch Identification in Passive Optical Networks using Machine Learning. OFC 2023: 1-3 - 2022
- [c3]Joo Yeon Cho, Jose-Juan Pedreno-Manresa, Sai Kireet Patri, Khouloud Abdelli, Carsten Tropschug, Jim Zou, Piotr Rydlichowski:
DeepALM: Holistic Optical Network Monitoring based on Machine Learning. OFC 2022: 1-3 - 2021
- [c2]Khouloud Abdelli, Florian Azendorf, Helmut Grießer, Carsten Tropschug, Stephan Pachnicke:
Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks. ECOC 2021: 1-4 - [c1]Khouloud Abdelli, Helmut Grießer, Carsten Tropschug, Stephan Pachnicke:
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis. OFC 2021: 1-3
Data and Artifacts
- 2022
- [d3]Khouloud Abdelli, Florian Azendorf, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke, Joo Choo:
Dataset for Optical fiber faults. IEEE DataPort, 2022
- [d2]Khouloud Abdelli, Helmut Griesser, Peter Ehrle, Carsten Tropschug, Stephan Pachnicke:
An OTDR dataset for optical fiber monitoring. IEEE DataPort, 2022 - [d1]Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke:
An OTDR event dataset. IEEE DataPort, 2022
Informal and Other Publications
- 2023
- [i9]Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Lars Jansen, Stephan Pachnicke:
Branch Identification in Passive Optical Networks using Machine Learning. CoRR abs/2304.00285 (2023) - [i8]Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke:
Faulty Branch Identification in Passive Optical Networks using Machine Learning. CoRR abs/2304.01376 (2023) - [i7]Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke:
Fault Monitoring in Passive Optical Networks using Machine Learning Techniques. CoRR abs/2307.03945 (2023) - 2022
- [i6]Khouloud Abdelli, Joo Yeon Cho, Carsten Tropschug:
ML-based Anomaly Detection in Optical Fiber Monitoring. CoRR abs/2202.11756 (2022) - [i5]Khouloud Abdelli, Florian Azendorf, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke:
Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks. CoRR abs/2203.11727 (2022) - [i4]Khouloud Abdelli, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke:
Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory. CoRR abs/2203.12604 (2022) - [i3]Joo Yeon Cho, Jose-Juan Pedreno-Manresa, Sai Kireet Patri, Khouloud Abdelli, Carsten Tropschug, Jim Zou, Piotr Rydlichowski:
DeepALM: Holistic Optical Network Monitoring based on Machine Learning. CoRR abs/2203.13596 (2022) - [i2]Khouloud Abdelli, Helmut Griesser, Peter Ehrle, Carsten Tropschug, Stephan Pachnicke:
Reflective Fiber Faults Detection and Characterization Using Long-Short-Term Memory. CoRR abs/2204.07058 (2022) - [i1]Khouloud Abdelli, Joo Yeon Cho, Florian Azendorf, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke:
Machine Learning-based Anomaly Detection in Optical Fiber Monitoring. CoRR abs/2204.07059 (2022)
Coauthor Index
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