Zobrazeno 1 - 10
of 3 358
pro vyhledávání: '"Tasos, A"'
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy consumption estimation within a Kubernetes cluster environment. It aims
Externí odkaz:
http://arxiv.org/abs/2403.04665
This paper proposes a novel three tier architecture for federated learning to optimize edge computing environments. The proposed architecture addresses the challenges associated with client data heterogeneity and computational constraints. It introdu
Externí odkaz:
http://arxiv.org/abs/2403.04546
Gait analysis from videos obtained from a smartphone would open up many clinical opportunities for detecting and quantifying gait impairments. However, existing approaches for estimating gait parameters from videos can produce physically implausible
Externí odkaz:
http://arxiv.org/abs/2402.12676
Autor:
Hedenlund, Alice, Moulinos, Tasos
We recapture Douglas' framework for twisted parametrized stable homotopy theory in the language of $\infty$- categories. A twisted spectrum is essentially a section of a bundle of presentable stable $\infty$-categories whose fiber is the $\infty$-cat
Externí odkaz:
http://arxiv.org/abs/2312.07403
Publikováno v:
Human Factors in Software and Systems Engineering, Vol. 61, 2022, 38-43
Orientation of modern software systems towards data-intensive processing raises new difficulties in software engineering on how to build and maintain such systems. Some of the important challenges concern the design of software architecture. In this
Externí odkaz:
http://arxiv.org/abs/2312.03049
Autor:
Cotton, R. James, Peiffer, J. D., Shah, Kunal, DeLillo, Allison, Cimorelli, Anthony, Anarwala, Shawana, Abdou, Kayan, Karakostas, Tasos
Publikováno v:
Ambient Inteligence for Healthcare workshop at MICCAI 2023
Markerless motion capture (MMC) is revolutionizing gait analysis in clinical settings by making it more accessible, raising the question of how to extract the most clinically meaningful information from gait data. In multiple fields ranging from imag
Externí odkaz:
http://arxiv.org/abs/2307.16321
Autor:
Robert F. Hillary, Danni A. Gadd, Zhana Kuncheva, Tasos Mangelis, Tinchi Lin, Kyle Ferber, Helen McLaughlin, Heiko Runz, Biogen Biobank Team, Riccardo E. Marioni, Christopher N. Foley, Benjamin B. Sun
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Understanding how gene-environment interactions (GEIs) influence the circulating proteome could aid in biomarker discovery and validation. The presence of GEIs can be inferred from single nucleotide polymorphisms that associate with phenotyp
Externí odkaz:
https://doaj.org/article/b3af4159742445ef8cc58e96088e9052
Autor:
Patronis, Tasos, Rizos, Ioannis
Publikováno v:
Mathematical Review, 2022, vol. 97-98, pp. 78-89
In this paper we first study the isoperimetric problem in the case of integer triangles, as well as Alcuin's sequence and how it relates to the number of different integer triangles with a given perimeter. We then present and compare two different ap
Externí odkaz:
http://arxiv.org/abs/2308.01912
Digital Identity (DI) technologies have the potential to enhance the quality of life of citizens through the provision of seamless services, improve the effectiveness of public services, and increase overall economic competitiveness. However, lack of
Externí odkaz:
http://arxiv.org/abs/2306.13511
Autor:
Cotton, R. James, DeLillo, Allison, Cimorelli, Anthony, Shah, Kunal, Peiffer, J. D., Anarwala, Shawana, Abdou, Kayan, Karakostas, Tasos
Markerless motion capture using computer vision and human pose estimation (HPE) has the potential to expand access to precise movement analysis. This could greatly benefit rehabilitation by enabling more accurate tracking of outcomes and providing mo
Externí odkaz:
http://arxiv.org/abs/2303.10654