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2020 – today
- 2024
[j1]Lars E. Kruse
, Sebastian Kühl, Annika Dochhan, Stephan Pachnicke:
Experimental investigation of machine-learning-based soft-failure management using the optical spectrum. J. Opt. Commun. Netw. 16(2): 94-103 (2024)- [c9]Sebastian Kühl, Lars E. Kruse, Stephan Pachnicke:
Comparison of Passive Photonic Reservoir Computing Architectures for Signal Equalization of Future Generation Intra-DCN and Mobile Fronthaul Systems. ICTON 2024: 1-4 - [c8]Mohammad Seifi Laleh, Sebastian Kühl, Silas Oettinghaus, Annika Dochhan, Stephan Pachnicke:
Ring-Cascaded Sequential Micro-Ring Resonators Array as a Photonic Reservoir for Signal Equalization in Intra-Data Center Networks. ICTON 2024: 1-4 - [c7]Lars E. Kruse, Sebastian Kühl, Annika Dochhan, Stephan Pachnicke:
Monitoring Data Augmentation of Spectral Information using VAE and GAN for Soft-Failure Identification. OFC 2024: 1-3 - 2023
- [c6]Alexandr Langolf, Sebastian Kühl, Stephan Pachnicke:
Transfer Learning for Handover Prediction in 5G Maritime Vehicular Networks. ISWCS 2023: 1-5 - [i1]Lars E. Kruse, Sebastian Kühl, Annika Dochhan, Stephan Pachnicke:
Experimental Investigation of Machine Learning based Soft-Failure Management using the Optical Spectrum. CoRR abs/2312.07208 (2023) - 2022
- [c5]Lars E. Kruse, Sebastian Kühl, Stephan Pachnicke:
Exact component parameter agnostic QoT estimation using spectral data-driven LSTM in optical networks. OFC 2022: 1-3 - 2020
- [c4]Jonas Koch, Ken Chan, Sebastian Kühl, Christian G. Schaeffer, Stephan Pachnicke:
Neural Networks based Equalization of Experimental Transmission using the Nonlinear Fourier Transformation. ECOC 2020: 1-4 - [c3]Rebekka Weixer, Sebastian Kühl, Rui Manuel Morais, Bernhard Spinnler, Wolfgang Schairer, Bernd Sommerkorn-Krombholz, Stephan Pachnicke:
A Reinforcement Learning Framework for Parameter Optimization in Elastic Optical Networks. ECOC 2020: 1-4
2010 – 2019
- 2017
- [c2]Jochen Weiner, Lorenz Diener, Simon Stelter, Eike Externest, Sebastian Kühl, Christian Herff, Felix Putze, Timo Schulze, Mazen Salous, Hui Liu, Dennis Küster, Tanja Schultz:
Bremen Big Data Challenge 2017: Predicting University Cafeteria Load. KI 2017: 380-386 - [c1]Stefan Edelkamp, Eike Externest, Sebastian Kühl, Sabine Kuske:
Solving Graph Optimization Problems in a Framework for Monte-Carlo Search. SOCS 2017: 163-164
Coauthor Index
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