Carsten Tropschug

According to our database, Carsten Tropschug authored at least 15 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Faulty branch identification in passive optical networks using machine learning.

Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke

JOCN, 2023

Branch Identification in Passive Optical Networks using Machine Learning.

Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Lars Jansen, Stephan Pachnicke

CoRR, 2023

Branch Identification in Passive Optical Networks using Machine Learning.

Khouloud Abdelli, Carsten Tropschug, Helmut Grießer, Sander Jansen, Stephan Pachnicke

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Fault Monitoring in Passive Optical Networks using Machine Learning Techniques.

Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke

Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

2022

An OTDR event dataset.

Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke

Dataset, November, 2022

An OTDR dataset for optical fiber monitoring.

Khouloud Abdelli, Helmut Griesser, Peter Ehrle, Carsten Tropschug, Stephan Pachnicke

Dataset, November, 2022

Dataset for Optical fiber faults.

Khouloud Abdelli, Florian Azendorf, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke, Joo Choo

Dataset, November, 2022

Machine-learning-based anomaly detection in optical fiber monitoring.

Khouloud Abdelli, Joo Yeon Cho, Florian Azendorf, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke

JOCN, 2022

Reflective Fiber Faults Detection and Characterization Using Long-Short-Term Memory.

Khouloud Abdelli, Helmut Griesser, Peter Ehrle, Carsten Tropschug, Stephan Pachnicke

CoRR, 2022

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, Stephan Pachnicke

CoRR, 2022

ML-based Anomaly Detection in Optical Fiber Monitoring.

Khouloud Abdelli, Joo Yeon Cho, Carsten Tropschug

CoRR, 2022

DeepALM: Holistic Optical Network Monitoring based on Machine Learning.

Joo Yeon Cho, Jose-Juan Pedreno-Manresa, Sai Kireet Patri, Khouloud Abdelli, Carsten Tropschug, Jim Zou, Piotr Rydlichowski

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021

Reflective fiber fault detection and characterization using long short-term memory.

Khouloud Abdelli, Helmut Grießer, Peter Ehrle, Carsten Tropschug, Stephan Pachnicke

JOCN, 2021

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

Khouloud Abdelli, Helmut Grießer, Carsten Tropschug, Stephan Pachnicke

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

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

Khouloud Abdelli, Florian Azendorf, Helmut Grießer, Carsten Tropschug, Stephan Pachnicke

Proceedings of the European Conference on Optical Communication, 2021