Zobrazeno 1 - 10
of 1 293
pro vyhledávání: '"Lalos A"'
Autor:
Arvanitis, Gerasimos, Piperigkos, Nikos, Anagnostopoulos, Christos, Lalos, Aris S., Moustakas, Konstantinos
In collaborative tasks where humans work alongside machines, the robot's movements and behaviour can have a significant impact on the operator's safety, health, and comfort. To address this issue, we present a multi-stereo camera system that continuo
Externí odkaz:
http://arxiv.org/abs/2304.05120
Publikováno v:
Research and Reports in Neonatology, Vol Volume 14, Pp 85-95 (2024)
Zachary A Vesoulis,1 Danielle P Sharp,2 Natasha Lalos,1 Devon P Swofford,1 Valerie Y Chock2 1Department of Pediatrics, Washington University, St. Louis, MO, USA; 2Department of Pediatrics, Stanford University, Palo Alto, CA, USACorrespondence: Zachar
Externí odkaz:
https://doaj.org/article/d6a6c15d23a24e5583d9b4f4f44e807a
Autor:
Sokolenko, Ekaterina A. *, Flühs, Dirk, Lalos, Fotis, Meyer, Peter, Fiorentzis, Miltiadis, Lindziute, Migle *, Gemmecke, Justine, Berchner-Pfannschmidt, Utta, Hendgen-Cotta, Ulrike, Bechrakis, Nikolaos E., Tsimpaki, Theodora, Dubicanac, Marko, Wißmann, Andreas, Hilken, Gero
Publikováno v:
In Canadian Journal of Ophthalmology/Journal canadien d'ophtalmologie October 2024 59(5):e515-e524
Publikováno v:
In Journal of Molecular Liquids 15 August 2024 408
Publikováno v:
IEEE Transactions on Industrial Informatics, Volume: 17, Issue: 2, Feb. 2021, Pages: 980 - 990
Recent advances in 3D scanning technology have enabled the deployment of 3D models in various industrial applications like digital twins, remote inspection and reverse engineering. Despite their evolving performance, 3D scanners, still introduce nois
Externí odkaz:
http://arxiv.org/abs/2111.12782
3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevitably leads to a demand for storage and transmission of voluminous dat
Externí odkaz:
http://arxiv.org/abs/2111.10105
In this paper, we design distributed multi-modal localization approaches for Connected and Automated vehicles. We utilize information diffusion on graphs formed by moving vehicles, based on Adapt-then-Combine strategies combined with the Least-Mean-S
Externí odkaz:
http://arxiv.org/abs/2108.10678
Deep learning and especially the use of Deep Neural Networks (DNNs) provides impressive results in various regression and classification tasks. However, to achieve these results, there is a high demand for computing and storing resources. This become
Externí odkaz:
http://arxiv.org/abs/2107.09095
Automotive Cyber-Physical Systems (ACPS) have attracted a significant amount of interest in the past few decades, while one of the most critical operations in these systems is the perception of the environment. Deep learning and, especially, the use
Externí odkaz:
http://arxiv.org/abs/2107.09101
Delineation approaches provide significant benefits to various domains, including agriculture, environmental and natural disasters monitoring. Most of the work in the literature utilize traditional segmentation methods that require a large amount of
Externí odkaz:
http://arxiv.org/abs/2107.07826