Generating more Realistic Packet Loss Patterns for Wireless links using Neural Networks. - Daniel Otten; Thomas Hänel; Tim Römer; Nils Aschenbruck (FLAIRS, 2023)

On Modelling the Power Consumption of a Backbone Network. - Daniel Otten; Sebastian Neuner; Nils Aschenbruck (ICC Workshops, 2023)

Green Segment Routing for Improved Sustainability of Backbone Networks. - Daniel Otten; Alexander Brundiers; Timmy Schüller; Nils Aschenbruck (LCN, 2023)

Green Traffic Engineering by Line Card Minimization. - Daniel Otten; Max Ilsen; Markus Chimani; Nils Aschenbruck (LCN, 2023)

Weather-Based Link Prediction for LEO-Satellite Networks using the WetLinks Dataset. - Eric Lanfer; Dominic Laniewski; Daniel Otten; Nils Aschenbruck (IFIP Networking, 2024)

Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks. - Anita Eisenbürger; Daniel Otten; Anselm Hudde; Frank Hopfgartner (CoRR, 2024)

Backdoor attacks on DNN and GBDT - A Case Study from the insurance domain. - Robin Kühlem; Daniel Otten; Daniel Ludwig; Anselm Hudde; Alexander Rosenbaum; Andreas Mauthe (CoRR, 2024)

A classifier-deduced signal extraction approach for time difference estimation in acoustic sensor networks. - Leonhard Brüggemann; Mario Dyczka; Daniel Otten; Nils Aschenbruck (Ecol. Informatics, 2025)