Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Nelson Kennedy Babu"'
Autor:
G. Adiline Macriga, K. Malarvizhi, S. Sobitha Ahila, Nelson Kennedy Babu C, S. Ayyasamy, B.M. Yashaswini
Publikováno v:
Measurement: Sensors, Vol 30, Iss , Pp 100910- (2023)
Secure data aggregation is essential in wireless sensor networks for lowering the amount of data transmitted and extending the lifetime of the network. The foundation underlying significantly greater industrial internet of things applications is prim
Externí odkaz:
https://doaj.org/article/dea73c17293847e4a373549adbcd1fcb
Autor:
Priyatharsini, G Soniya, Babu, A. Jyothi, Kiran, M. Gnana, Sathish Kumar, P.J., Nelson Kennedy Babu, C., Ali, Aleem
Publikováno v:
In Measurement: Sensors December 2022 24
Publikováno v:
In Procedia Computer Science 2022 204:65-72
Akademický článek
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Autor:
G Soniya Priyatharsini, A. Jyothi Babu, M. Gnana Kiran, P.J. Sathish Kumar, C. Nelson Kennedy Babu, Aleem Ali
Publikováno v:
Measurement: Sensors, Vol 24, Iss , Pp 100490- (2022)
A difficult problem to solve concerns the secure installation and startup of devices connected to the Internet of Things (IoT) via the Internet.To provide additional value-added services, this article deals with the verified configuration of IoT devi
Externí odkaz:
https://doaj.org/article/830841358892421ca0c22f1590e9e78e
Autor:
Mudassir Khan, A. Ilavendhan, C. Nelson Kennedy Babu, Vishal Jain, S. B. Goyal, Chaman Verma, Calin Ovidiu Safirescu, Traian Candin Mihaltan
Publikováno v:
Energies, Vol 15, Iss 13, p 4528 (2022)
The goal of today’s technological era is to make every item smart. Internet of Things (IoT) is a model shift that gives a whole new dimension to the common items and things. Wireless sensor networks, particularly Low-Power and Lossy Networks (LLNs)
Externí odkaz:
https://doaj.org/article/331334a0ac354c78b8da7d95ca36d7cc
Autor:
V, Priya, Nelson Kennedy Babu, C.
Publikováno v:
In Computer Standards & Interfaces February 2017 50:251-257
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
Procedia Computer Science. 204:65-72
A continuing outbreak of pneumonia-related disease novel, Coronavirus has been recorded worldwide and has become a global health problem. This research aims to generate a constructive training data set for a neural network to detect COVID-19 from X-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2140b82343d82ffbfecf622053c1e5c
https://doi.org/10.1016/j.procs.2022.08.008
https://doi.org/10.1016/j.procs.2022.08.008
Publikováno v:
Procedia Computer Science. 204:907-913
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6243e34a7d7b5d356ce6637398c8a9d
https://doi.org/10.1016/j.procs.2022.08.110
https://doi.org/10.1016/j.procs.2022.08.110