• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 129 matches

• 2024
• 
  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)
• 
  Hammad Zafar, Ehsan Tohidi, Martin Kasparick, Slawomir Stanczak:
  Load Balancing in O-RAN. WCNC 2024: 1-6
• 
  Tano Bischoff, Martin Kasparick, Ehsan Tohidi, Slawomir Stanczak:
  Real-Time Algorithms for Combined eMBB and URLLC Scheduling. WSA 2024: 1-5
• 
  Vahid Rajabi, Jochen Fink, Martin Kasparick, Slawomir Stanczak:
  Predictive Handover Optimization. WSA 2024: 91-96
• 
  Noor Ul Ain, Rodrigo Hernangómez, Alexandros Palaios, Martin Kasparick, Slawomir Stanczak:
  QoS prediction in radio vehicular environments via prior user information. CoRR abs/2402.17689 (2024)
• 2023
• 
  Alexandros Palaios, Christian L. Vielhaus, Daniel Fabian Külzer, Cara Watermann, Rodrigo Hernangómez, Sanket Partani, Philipp Geuer, Anton Krause, Raja Sattiraju, Martin Kasparick, Gerhard P. Fettweis, Frank H. P. Fitzek, Hans D. Schotten, Slawomir Stanczak:
  Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches. IEEE Access 11: 92459-92477 (2023)
• 
  Martins Jansevskis, Kaspars Osis:
  Knowledge Discovery Frameworks and Characteristics. Balt. J. Mod. Comput. 11(4) (2023)
• 
  Isabel Martins, Filipe Pereira Alvelos, Adelaide Cerveira, Jan Kaspar, Robert Marusák:
  Solving a harvest scheduling optimization problem with constraints on clearcut area and clearcut proximity. Int. Trans. Oper. Res. 30(6): 3930-3948 (2023)
• 
  Kaspar Hageman, Álvaro Feal, Julien Gamba, Aniketh Girish, Jakob Bleier, Martina Lindorfer, Juan Tapiador, Narseo Vallina-Rodriguez:
  Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem. IEEE Trans. Software Eng. 49(4): 2964-2979 (2023)
• 
  Sebastian Bosse, Karsten Berns, Johannes Bosch, Jörg Dörr, Frederick Charles Eichhorn, Peter Eisert, Christoph Fischer, Eike Gassen, Michael Gerstenberger, Heike Gerighausen, Jonathan Heil, Anna Hilsmann, Jochen Hirth, Christopher Huber, Mortesa Hussaini, Martin Kasparick, Peter Kloke, Hartmut Krause-Edler, Lukas Mackle, Jannes Magnusson, Felix Möhrle, Markus Möller, Peter Pickel, Clemens Rautenberg, Hans Dieter Schotten, Slawomir Stanczak, Lars Thiele, Henrik Ücdemir, Annett Wania, Anthony Stein:
  Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Industrie. GIL Jahrestagung 2023: 41-52
• 
  Hammad Zafar, Martin Kasparick, Setareh Maghsudi, Slawomir Stanczak:
  A Deep Reinforcement Learning Approach for Load Balancing in Open Radio Access Networks. GLOBECOM 2023: 3723-3728
• 
  Martins Jansevskis, Kaspars Osis:
  User Interaction and Response-Based Knowledge Discovery Framework. ICIST 2023: 102-112
• 
  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
• 
  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
• 
  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 
• 
  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 
• 
  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)
• 
  Alexandros Palaios, Christian L. Vielhaus, Daniel Fabian Külzer, Cara Watermann, Rodrigo Hernangómez, Sanket Partani, Philipp Geuer, Anton Krause, Raja Sattiraju, Martin Kasparick, Gerhard P. Fettweis, Frank H. P. Fitzek, Hans D. Schotten, Slawomir Stanczak:
  The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction. CoRR abs/2302.11966 (2023)
• 
  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)
• 
  Ilaria Malanchini, Nicola Michailow, Patrick Agostini, Janne Ali-Tolppa, David Hock, Martin Kasparick, Alessandro Lieto, Nikolaj Marchenko, Alberto Martínez Alba, Rastin Pries, Qiuheng Zhou:
  Convergence of Manufacturing and Networking in Future Factories. CoRR abs/2312.08708 (2023)
• 2022
• 
  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)
• 
  Andrea Sacchetti, Benjamin Bachmann, Kaspar Löffel, Urs-Martin Künzi, Beatrice Paoli:
  Neural Networks to Solve Partial Differential Equations: A Comparison With Finite Elements. IEEE Access 10: 32271-32279 (2022)
• 
  Chaofan Ma, Meng Zheng, Wei Liang, Martin Kasparick, Yufeng Lin:
  Deploying Hierarchical Mesh Networks for Supporting Distributed Computing in Industrial Internet of Things. IEEE Syst. J. 16(3): 4433-4444 (2022)
• 
  Martin Cech, Arend-Jan Beltman, Kaspars Ozols:
  Digital Twins and AI in Smart Motion Control Applications. ETFA 2022: 1-7
• 
  Rodrigo Hernangómez, Alexandros Palaios, Gayathri Guruvayoorappan, Martin Kasparick, Noor Ul Ain, Slawomir Stanczak:
  Online QoS estimation for vehicular radio environments. EUSIPCO 2022: 1701-1705
• 
  Andreas Pfadler, Peter Jung, Vlerar Shala, Martin Kasparick, Marc Adrat, Slawomir Stanczak:
  Short-Term Prediction of Doubly-Dispersive Channels for Pulse-Shaped OTFS using 2D-ConvLSTM. ICC Workshops 2022: 939-944
• 
  Maria Bezmenov, Zoran Utkovski, Martin Kasparick, Klaus Sambale, Slawomir Stanczak:
  A Probabilistic Model of the Age of Information for Distributed Periodic Reservations in Sidelink. WCNC 2022: 2530-2535
• 
  Diego Preciado, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak:
  SON Function Coordination in Campus Networks Using Machine Learning. WCNC 2022: 2130-2135
• 
  Andrea Sacchetti, Benjamin Bachmann, Kaspar Löffel, Urs-Martin Künzi, Beatrice Paoli:
  Neural Networks to solve Partial Differential Equations: a Comparison with Finite Elements. CoRR abs/2201.03269 (2022)
• 
  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)

skipping 99 more matches