Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Jaya Prakash Champati"'
Autor:
Jesús Rufino, Carlos Baquero, Davide Frey, Christin A. Glorioso, Antonio Ortega, Nina reščič, Julian Charles Roberts, Rosa E. Lillo, Raquel Menezes, Jaya Prakash Champati, Antonio Fernández Anta
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Symptoms-based detection of SARS-CoV-2 infection is not a substitute for precise diagnostic tests but can provide insight into the likely level of infection in a given population. This study uses symptoms data collected in the Global COVID-1
Externí odkaz:
https://doaj.org/article/6e4008e175fc4ca7b058f31ad043f083
Autor:
Jesús Rufino, Carlos Baquero, Davide Frey, Christin A. Glorioso, Antonio Ortega, Nina Reščič, Julian Charles Roberts, Rosa E. Lillo, Raquel Menezes, Jaya Prakash Champati, Antonio Fernández Anta
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/83dfc14b590b459ba789099d18cccd0f
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 9, Iss 3, p 43 (2020)
In the design of multi-loop Networked Control Systems (NCSs), wherein each control system is characterized by heterogeneous dynamics and associated with a certain set of timing specifications, appropriate metrics need to be employed for the synthesis
Externí odkaz:
https://doaj.org/article/e18c2f6994e14fc88008ef4b7ea77e5a
Autor:
Andrea Fresa, Jaya Prakash Champati
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:2025-2039
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f4e9e8b2bc6d66c8617d5ad5f7c001
https://doi.org/10.1109/tpds.2023.3267458
https://doi.org/10.1109/tpds.2023.3267458
Smart IoT-based systems often desire continuous execution of multiple latency-sensitive Deep Learning (DL) applications. The edge servers serve as the cornerstone of such IoT-based systems, however, their resource limitations hamper the continuous ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40a82189656cb46db70ac1aec0d144bd
http://arxiv.org/abs/2211.07130
http://arxiv.org/abs/2211.07130
Publikováno v:
IMDEA Networks Institute Digital Repository
instname
instname
Interactive applications with automated feedback will largely influence the design of future networked infrastructures. In such applications, status information about an environment of interest is captured and forwarded to a compute node, which analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9363715339bd2a45f7ebe39c45bcc4
https://hdl.handle.net/20.500.12761/1569
https://hdl.handle.net/20.500.12761/1569
Publikováno v:
IEEE/ACM Transactions on Networking. 28:722-735
In this article, we investigate the transient behavior of a sequence of packets/bits traversing a multi-hop wireless network under static routing. Our work is motivated by novel applications from the domain of process automation, Machine-Type Communi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f4fb5af3fc0a9de28f07d8b96595752
https://doi.org/10.1109/tnet.2020.2975616
https://doi.org/10.1109/tnet.2020.2975616
Autor:
Ben Liang, Jaya Prakash Champati
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 31:187-200
We study the problem of scheduling $n$ n tasks on $m+m^{\prime }$ m + m ' parallel processors, where the processing times on $m$ m processors are known while those on the remaining $m^{\prime }$ m ' processors are not known a priori. This semi-online
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3912c6baec3216b16eb7e7d65a2a61
https://doi.org/10.1109/tpds.2019.2929173
https://doi.org/10.1109/tpds.2019.2929173
Publikováno v:
IMDEA Networks Institute Digital Repository
instname
instname
We consider a finite-state Discrete-Time Markov Chain (DTMC) source that can be sampled for detecting the events when the DTMC transits to a new state. Our goal is to study the trade-off between sampling frequency and staleness in detecting the event
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61cd57325395debcaaca31c2ae6b6053
Autor:
Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto Garcia-Agundez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Estrella Rausell, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso
Introduction: Having accurate and timely data on active COVID-19 cases is challenging, since it depends on the availability of an appropriate infrastructure to perform tests and aggregate their results. In this work, we propose alternative methods to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb2c2c73c35753917c3263c6b2ad70d
https://doi.org/10.1101/2021.12.09.21267355
https://doi.org/10.1101/2021.12.09.21267355