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2212.10343
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Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
20 December 2022
Rodrigo Hernangómez
Philipp Geuer
Alexandros Palaios
Daniel Schäufele
Cara Watermann
Khawla Taleb-Bouhemadi
Mohammad Parvini
A. Krause
S. Partani
Christian L. Vielhaus
Martin Kasparick
D. Külzer
Friedrich Burmeister
F. Fitzek
Hans D. Schotten
G. Fettweis
Slawomir Stañczak
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Papers citing
"Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies"
5 / 5 papers shown
Title
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
Daniel Becking
Ingo Friese
Karsten Müller
Thomas Buchholz
Mandy Galkow-Schneider
Wojciech Samek
D. Marpe
36
0
0
02 Apr 2025
QoS prediction in radio vehicular environments via prior user information
Noor Ul Ain
Rodrigo Hernangómez
Alexandros Palaios
Martin Kasparick
Slawomir Stañczak
16
1
0
27 Feb 2024
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
Alexandros Palaios
Christian L. Vielhaus
D. Külzer
Cara Watermann
Rodrigo Hernangómez
...
Martin Kasparick
G. Fettweis
F. Fitzek
Hans D. Schotten
Sławomir Stańczak
22
13
0
23 Feb 2023
Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
Rodrigo Hernangómez
Alexandros Palaios
Cara Watermann
Daniel Schäufele
Philipp Geuer
...
Hugues Tchouankem
Jose Angel Leon Calvo
Bo Chen
G. Fettweis
Sławomir Stańczak
22
9
0
20 Dec 2022
A Survey of Open Source User Activity Traces with Applications to User Mobility Characterization and Modeling
Sinjoni Mukhopadhyay King
Faisal Nawab
K. Obraczka
30
2
0
12 Oct 2021
1