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2020 – today
- 2023
[c8]Michael Niebisch, Daniel Pfaller, Anatoli Djanatliev:
Enhancing Vehicular Cooperative Downloading with Continuous Seeding Through Deep Reinforcement Learning. LATINCOM 2023: 1-6- [c7]Michael Niebisch, Daniel Pfaller, Reinhard German, Anatoli Djanatliev:
On the Benefits of Opportunistic WiFi in Cooperative Downloading. VTC2023-Spring 2023: 1-6 - 2022
- [c6]Michael Niebisch
, Daniel Pfaller, Anatoli Djanatliev:
Cooperative Downloading in Heterogeneous Vehicular Networks: A Cost Analysis. ICEIC 2022: 1-4 - [c5]Michael Niebisch, Daniel Pfaller, Reinhard German, Anatoli Djanatliev:
Performance Improvements in Cooperative Downloading: Encoding and Strategies for Heterogeneous Vehicular Networks. LCN 2022: 438-446 - [c4]Mühenad Bilal, Sunil Kancharana, Christian Mayer, Daniel Pfaller, Leonid Koval, Markus Bregulla, Rafal Cupek, Adam Ziebinski:
High Resolution Mask R-CNN-based Damage Detection on Titanium Nitride Coated Milling Tools for Condition Monitoring by using a New Illumination Technique. VISIGRAPP (5: VISAPP) 2022: 305-314 - [c3]Michael Niebisch, Daniel Pfaller, Anatoli Djanatliev:
CoDiPy: Performance Evaluation of Vehicular Cooperative Downloading in Python. WiMob 2022: 461-465 - 2021
- [c2]Leonid Koval, Daniel Pfaller, Mühenad Bilal, Markus Bregulla, Rafal Cupek:
An Analysis of Convolutional Neural Network Models for Classifying Machine Tools. ICCCI (CCIS Volume) 2021: 461-473 - 2020
- [c1]Michael Niebisch, Thomas Deinlein, Daniel Pfaller, Reinhard German, Anatoli Djanatliev:
Impact of the Communication Direction on the Reliability of Vehicle-to-Everything (V2X) Communications. VNC 2020: 1-7
Coauthor Index
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