Zobrazeno 1 - 10
of 16 873
pro vyhledávání: '"Sampson P"'
Autor:
Eirini Sarrou, Nektaria Tsivelika, Stefan Martens, Maria Irakli, Fotini Bletsaki, Sarra Broufa, Sampson Panajiotidis, Paschalina S. Chatzopoulou, Eleni M. Abraham
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1448 (2024)
Sideritis scardica (S. scardica) Griseb., also known as mountain tea, is an important medicinal and aromatic plant species. Due to the high cross-pollination ability of the species, diverse genotypes and phenotypes occur naturally. Considering that s
Externí odkaz:
https://doaj.org/article/7babafe2360c4860bddc8bf02c73c401
Autor:
Sampson, Matt L., Melchior, Peter
Latent ODE models provide flexible descriptions of dynamic systems, but they can struggle with extrapolation and predicting complicated non-linear dynamics. The latent ODE approach implicitly relies on encoders to identify unknown system parameters a
Externí odkaz:
http://arxiv.org/abs/2410.08923
As continuous learning based video analytics continue to evolve, the role of efficient edge servers in efficiently managing vast and dynamic datasets is becoming increasingly crucial. Unlike their compute architecture, storage and archival system for
Externí odkaz:
http://arxiv.org/abs/2410.05435
Autor:
Ward, Charlotte, Melchior, Peter, Sampson, Matt L., Burke, Colin J., Siegel, Jared, Remy, Benjamin, Birmingham, Sufia, Ramey, Emily, van Velzen, Sjoert
Many science cases for wide-field time-domain surveys rely on accurate identification and characterization of the galaxies hosting transient and variable objects. In the era of the Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observato
Externí odkaz:
http://arxiv.org/abs/2409.15427
Autor:
Mishra, Cyan Subhra, Sampson, Jack, Kandmeir, Mahmut Taylan, Narayanan, Vijaykrishnan, Das, Chita R
There is an increasing demand for intelligent processing on ultra-low-power internet of things (IoT) device. Recent works have shown substantial efficiency boosts by executing inferences directly on the IoT device (node) rather than transmitting data
Externí odkaz:
http://arxiv.org/abs/2408.14379
The deployment of Deep Neural Networks in energy-constrained environments, such as Energy Harvesting Wireless Sensor Networks, presents unique challenges, primarily due to the intermittent nature of power availability. To address these challenges, th
Externí odkaz:
http://arxiv.org/abs/2408.13696
In traditional models of opinion dynamics, each agent in a network has an opinion and changes in opinions arise from pairwise (i.e., dyadic) interactions between agents. However, in many situations, groups of individuals can possess a collective opin
Externí odkaz:
http://arxiv.org/abs/2408.13336
Autor:
Sampson, Corbit R., Restrepo, Juan G.
The spread of disinformation (maliciously spread false information) in online social networks has become an important problem in today's society. Disinformation's spread is facilitated by the fact that individuals often accept false information based
Externí odkaz:
http://arxiv.org/abs/2408.10373
Autor:
Jan Kośny, Jay Thakkar, Tlegen Kamidollayev, Margaret J. Sobkowicz, Juan Pablo Trelles, Cordula Schmid, Sampson Phan, Saibhargav Annavajjala, Peter Horwath
Publikováno v:
Buildings, Vol 13, Iss 6, p 1516 (2023)
PCMs are attractive for the future generation of buildings, where energy efficiency targets and thermal comfort expectations are increasingly prioritized. Experimental analysis of local thermal processes in these dynamic components and whole-building
Externí odkaz:
https://doaj.org/article/4676bd254dac4056a24878ef86131ff9
Publikováno v:
Hydrology, Vol 10, Iss 2, p 45 (2023)
Urban streams are ecosystems of great ecological and hydrological importance for human environments. However, they face pressure on biodiversity, hydromorphology, and water quality. In this study, an urban riparian system of a Mediterranean city (The
Externí odkaz:
https://doaj.org/article/3ac95599d38640ec8fc60584ef4896c7