Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Kevin Mets"'
Publikováno v:
Sensors, Vol 24, Iss 15, p 4876 (2024)
Interest in deploying deep reinforcement learning (DRL) models on low-power edge devices, such as Autonomous Mobile Robots (AMRs) and Internet of Things (IoT) devices, has seen a significant rise due to the potential of performing real-time inference
Externí odkaz:
https://doaj.org/article/bdd1b4a7466f45c19891eca24e7ffb5d
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 1, Pp 172-221 (2022)
Reinforcement learning (RL) allows an agent to solve sequential decision-making problems by interacting with an environment in a trial-and-error fashion. When these environments are very complex, pure random exploration of possible solutions often fa
Externí odkaz:
https://doaj.org/article/540fdb71884e45e6b5b548b45efc01e3
Autor:
Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis A. Fletscher, Natalia Gaviria, Peter Hellinckx, Juan F. Botero, Steven Latré
Publikováno v:
Sensors, Vol 21, Iss 13, p 4321 (2021)
IEEE 802.11 (Wi-Fi) is one of the technologies that provides high performance with a high density of connected devices to support emerging demanding services, such as virtual and augmented reality. However, in highly dense deployments, Wi-Fi performa
Externí odkaz:
https://doaj.org/article/29b9fd7450694075819ffd7ebd383030
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710f41d1c0c9b424fdd799ff2ebf0dd7
https://doi.org/10.5220/0011902300003417
https://doi.org/10.5220/0011902300003417
Autor:
Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, Jose Oramas, Steven Latre, Peter Hellinckx
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 17-20 October, 2022, Brussels, Belgium
To enable autonomous vessels to operate on inland waterways, they need to detect, track and localize objects at close range to safely navigate. We deployed current deep learning techniques to detect and track these objects. As there are no large labe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fd65afc73fed9bdc086064d9a31ec44
https://doi.org/10.1109/iecon49645.2022.9969042
https://doi.org/10.1109/iecon49645.2022.9969042
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030938413
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51707ee96318482f3b13f2a236011f02
https://doi.org/10.1007/978-3-030-93842-0_4
https://doi.org/10.1007/978-3-030-93842-0_4
Autor:
Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 17-20 October, 2022, Brussels, Belgium
In recent years, interest in autonomous shipping in urban waterways has increased significantly due to the trend of keeping cars and trucks out of city centers. Classical approaches such as Frenet frame based planning and potential field navigation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a901901dea437a0609d41a585ed87ad
https://hdl.handle.net/10067/1942160151162165141
https://hdl.handle.net/10067/1942160151162165141
Autor:
Gauthier de Borrekens, Simon Vanneste, Peter Hellinckx, Stig Bosmans, Siegfried Mercelis, Steven Latre, Kevin Mets, Astrid Vanneste
Publikováno v:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2021)
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030898984
3PGCIC
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030898984
3PGCIC
Recent work in multi-agent reinforcement learning has investigated inter agent communication which is learned simultaneously with the action policy in order to improve the team reward. In this paper, we investigate independent Q-learning (IQL) withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::140e025dfd487fa9b0d3a1781aaa332e
https://hdl.handle.net/10067/1846900151162165141
https://hdl.handle.net/10067/1846900151162165141
Publikováno v:
Artificial Intelligence and Machine Learning : 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10–12, 2021: revised selected papers
Communications in Computer and Information Science ISBN: 9783030938413
Communications in Computer and Information Science ISBN: 9783030938413
Object detection on real-time edge devices for new applications with no or a limited amount of annotated labels is difficult. Where traditional data-hungry methods fail, transfer learning can provide a solution by transferring knowledge from a source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::916d08d0259f9d30e2868c844ecf47c0
https://hdl.handle.net/10067/1949900151162165141
https://hdl.handle.net/10067/1949900151162165141
Autor:
Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031020438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2a18e4518dc9105ff4c9d00d176645a
https://doi.org/10.1007/978-3-031-02044-5_9
https://doi.org/10.1007/978-3-031-02044-5_9