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2020 – today
- 2024
[j2]Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann, Daniel Schäufele, Philipp Geuer, Rafail Ismayilov, Mohammad Parvini
, Anton Krause, Martin Kasparick, Thomas Neugebauer, Oscar Dario Ramos-Cantor, Hugues Tchouankem, Jose Leon Calvo, Bo Chen, Gerhard P. Fettweis, Slawomir Stanczak:
Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets. IEEE Commun. Mag. 62(4): 90-95 (2024)- 2023
- [c8]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Frank H. P. Fitzek, Hans D. Schotten, Gerhard P. Fettweis, Slawomir Stanczak:
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. VTC2023-Spring 2023: 1-5 - [c7]Asif Abdullah Rokoni, Daniel Schäufele, Martin Kasparick, Slawomir Stanczak:
From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication. VTC Fall 2023: 1-5 - [d2]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Slawomir Stanczak, Gerhard P. Fettweis, Hans D. Schotten, Frank H. P. Fitzek:
Berlin V2X. IEEE DataPort, 2023
- [d1]Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann, Daniel Schäufele, Philipp Geuer, Rafail Ismayilov, Mohammad Parvini, Anton Krause, Martin Kasparick, Thomas Neugebauer, Oscar Dario Ramos-Cantor, Hugues Tchouankem, Jose Leon Calvo, Bo Chen, Slawomir Stanczak, Gerhard P. Fettweis:
AI4Mobile Industrial Wireless Datasets: iV2V and iV2I+. IEEE DataPort, 2023 - [i5]Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann, Daniel Schäufele, Philipp Geuer, Rafail Ismayilov, Mohammad Parvini, Anton Krause, Martin Kasparick, Thomas Neugebauer, Oscar Dario Ramos-Cantor, Hugues Tchouankem, Jose Leon Calvo, Bo Chen, Slawomir Stanczak, Gerhard P. Fettweis:
Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets. CoRR abs/2301.03364 (2023) - [i4]Asif Abdullah Rokoni, Daniel Schäufele, Martin Kasparick, Slawomir Stanczak:
From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication. CoRR abs/2309.17086 (2023) - 2022
- [j1]Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller:
GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems. IEEE Access 10: 70937-70946 (2022) - [c6]Daniel Schäufele, Guillermo Marcus, Nikolaus Binder, Matthias Mehlhose, Alexander Keller, Slawomir Stanczak:
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access. EUSIPCO 2022: 667-671 - [i3]Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller:
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond. CoRR abs/2201.05024 (2022) - [i2]Daniel Schäufele, Guillermo Marcus, Nikolaus Binder, Matthias Mehlhose, Alexander Keller, Slawomir Stanczak:
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access. CoRR abs/2206.05998 (2022) - [i1]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Slawomir Stanczak, Gerhard P. Fettweis, Hans D. Schotten, Frank H. P. Fitzek:
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. CoRR abs/2212.10343 (2022) - 2021
- [c5]Alexandros Palaios, Philipp Geuer, Jochen Fink, Daniel Fabian Külzer, Fabian Göttsch, Martin Kasparick, Daniel Schäufele, Rodrigo Hernangómez, Sanket Partani, Raja Sattiraju, Atul Kumar, Friedrich Burmeister, Andreas Weinand, Christian Vielhaus, Frank H. P. Fitzek, Gerhard P. Fettweis, Hans D. Schotten, Slawomir Stanczak:
Network under Control: Multi-Vehicle E2E Measurements for AI-based QoS Prediction. PIMRC 2021: 1432-1438 - [c4]Daniel Schäufele, Martin Kasparick, Jens Schwardmann, Johannes Morgenroth, Slawomir Stanczak:
Terminal-Side Data Rate Prediction For High-Mobility Users. VTC Spring 2021: 1-5 - 2020
- [c3]Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps. ICASSP 2020: 2867-2871
2010 – 2019
- 2019
- [c2]Daniel Schäufele, Renato L. G. Cavalcante, Slawomir Stanczak:
Tensor Completion for Radio Map Reconstruction using Low Rank and Smoothness. SPAWC 2019: 1-5 - [c1]Jochen Fink, Daniel Schäufele, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak:
Cooperative Localization by Set-theoretic Estimation. WSA 2019: 65-72
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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