Lia Ahrens

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Anomaly Detection

Classification Scheme

Top Venues

EURASIP J. Adv. Signal Process.

Publications

Michael Zentarra, Julian Ahrens, Lia Ahrens
From Channel Measurement to Training Data for PHY Layer AI Applications. CoRR (2024)
Lia Ahrens, Julian Ahrens, Hans Dieter Schotten
Convolutional-Type Neural Networks for Fading Channel Forecasting. IEEE Access 8 (2020)
Lia Ahrens, Julian Ahrens, Hans D. Schotten
A machine-learning phase classification scheme for anomaly detection in signals with periodic characteristics. EURASIP J. Adv. Signal Process. 2019 (2019)
Julian Ahrens, Lia Ahrens, Hans D. Schotten
A Machine Learning Method for Prediction of Multipath Channels. CoRR (2019)
Lia Ahrens, Julian Ahrens, Hans D. Schotten
A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics. CoRR (2018)
Simon Duque Antón, Lia Ahrens, Daniel Fraunholz, Hans Dieter Schotten
Time is of the Essence: Machine Learning-Based Intrusion Detection in Industrial Time Series Data. ICDM Workshops (2018)
Simon Duque Antón, Lia Ahrens, Daniel Fraunholz, Hans Dieter Schotten
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data. CoRR (2018)
Julian Ahrens, Mathias Strufe, Lia Ahrens, Hans D. Schotten
An AI-driven Malfunction Detection Concept for NFV Instances in 5G. CoRR (2018)