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2020 – today
- 2024
[i5]Anastasios Giovanidis, Mathieu Leconte, Sabrine Aroua, Tor Kvernvik, David Sandberg:
Online Frequency Scheduling by Learning Parallel Actions. CoRR abs/2406.05041 (2024)- 2023
- [j2]Henrik Rydén, Hamed Farhadi, Alexandros Palaios, László Hévizi, David Sandberg, Tor Kvernvik:
Next Generation Mobile Networks' Enablers: Machine Learning-Assisted Mobility, Traffic, and Radio Channel Prediction. IEEE Commun. Mag. 61(10): 94-98 (2023) - [i4]Martin Isaksson, Filippo Vannella, David Sandberg, Rickard Cöster:
mmWave Beam Selection in Analog Beamforming Using Personalized Federated Learning. CoRR abs/2310.00406 (2023) - 2022
- [c12]David Sandberg, Tor Kvernvik, Francesco Davide Calabrese:
Learning Robust Scheduling with Search and Attention. ICC 2022: 1549-1555 - [c11]Amin Bolakhrif, Mustafa Özger
, David Sandberg, Cicek Cavdar:
AI-Assisted Network Traffic Prediction Without Warm-Up Periods. VTC Spring 2022: 1-6 - [i3]Henrik Rydén, Alexandros Palaios, László Hévizi, David Sandberg, Tor Kvernvik, Hamed Farhadi:
Mobility, traffic and radio channel prediction: 5G and beyond applications. CoRR abs/2203.08047 (2022) - 2021
- [c10]Ursula Challita, David Sandberg:
Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR. ICC 2021: 1-6 - [i2]Ursula Challita, David Sandberg:
Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR. CoRR abs/2102.11176 (2021) - [i1]David Sandberg, Tor Kvernvik, Francesco Davide Calabrese:
Learning Robust Scheduling with Search and Attention. CoRR abs/2111.08073 (2021)
2010 – 2019
- 2019
- [c9]Olof Liberg, Tuomas Tirronen, Y.-P. Eric Wang, Johan Bergman, Andreas Hoglund, Talha Khan, Gerardo Agni Medina-Acosta, Henrik Ryden, Antti Ratilainen, David Sandberg, Yutao Sui:
Narrowband Internet of Things 5G Performance. VTC Fall 2019: 1-5 - 2015
- [c8]David Sandberg, Torbjörn Wigren:
Multi-Rate Uplink Channel Prediction and Enhanced Link Adaptation for VoLTE. VTC Fall 2015: 1-5 - 2011
- [j1]David Sandberg, Torbjörn Åkerstedt, Anna Anund, Göran Kecklund, Mattias Wahde:
Detecting Driver Sleepiness Using Optimized Nonlinear Combinations of Sleepiness Indicators. IEEE Trans. Intell. Transp. Syst. 12(1): 97-108 (2011) - [c7]David Sandberg, Per-Erik Forssén, Jens Ogniewski:
Model-Based Video Coding Using Colour and Depth Cameras. DICTA 2011: 158-163 - [c6]David Sandberg:
The performance of driver sleepiness indicators as a function of interval length. ITSC 2011: 1735-1740
2000 – 2009
- 2009
- [c5]David Sandberg, Krister Wolff, Mattias Wahde:
A Robot Localization Method Based on Laser Scan Matching. FIRA 2009: 171-178 - [c4]Mattias Wahde, David Sandberg:
An Algorithm for Sensory Area Coverage by Mobile Robots Operating in Complex Arenas. FIRA 2009: 179-186 - 2008
- [c3]Krister Wolff, David Sandberg, Mattias Wahde:
Evolutionary optimization of a bipedal gait in a physical robot. IEEE Congress on Evolutionary Computation 2008: 440-445 - [c2]David Sandberg, Mattias Wahde:
Particle swarm optimization of feedforward neural networks for the detection of drowsy driving. IJCNN 2008: 788-793 - 2006
- [c1]Jimmy Pettersson, David Sandberg, Krister Wolff, Mattias Wahde:
Behavioral selection in domestic assistance robots: A comparison of different methods for optimization of utility functions. SMC 2006: 4904-4909
Coauthor Index
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