Impact of the Communication Direction on the Reliability of Vehicle-to-Everything (V2X) Communications. - Michael Niebisch; Thomas Deinlein; Daniel Pfaller; Reinhard German; Anatoli Djanatliev (VNC, 2020)

An Analysis of Convolutional Neural Network Models for Classifying Machine Tools. - Leonid Koval; Daniel Pfaller; Mühenad Bilal; Markus Bregulla; Rafal Cupek (ICCCI (CCIS Volume), 2021)

Cooperative Downloading in Heterogeneous Vehicular Networks: A Cost Analysis. - Michael Niebisch; Daniel Pfaller; Anatoli Djanatliev (ICEIC, 2022)

Performance Improvements in Cooperative Downloading: Encoding and Strategies for Heterogeneous Vehicular Networks. - Michael Niebisch; Daniel Pfaller; Reinhard German; Anatoli Djanatliev (LCN, 2022)

High Resolution Mask R-CNN-based Damage Detection on Titanium Nitride Coated Milling Tools for Condition Monitoring by using a New Illumination Technique. - Mühenad Bilal; Sunil Kancharana; Christian Mayer; Daniel Pfaller; Leonid Koval; Markus Bregulla; Rafal Cupek; Adam Ziebinski (VISIGRAPP (5: VISAPP), 2022)

CoDiPy: Performance Evaluation of Vehicular Cooperative Downloading in Python. - Michael Niebisch; Daniel Pfaller; Anatoli Djanatliev (WiMob, 2022)

Enhancing Vehicular Cooperative Downloading with Continuous Seeding Through Deep Reinforcement Learning. - Michael Niebisch; Daniel Pfaller; Anatoli Djanatliev (LATINCOM, 2023)

On the Benefits of Opportunistic WiFi in Cooperative Downloading. - Michael Niebisch; Daniel Pfaller; Reinhard German; Anatoli Djanatliev (VTC2023-Spring, 2023)