Zobrazeno 1 - 10
of 624
pro vyhledávání: '"D. Surendran"'
Autor:
S. Gayathri, D. Surendran
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract Anomaly detection in Wireless Sensor Networks (WSNs) is critical for their reliable and secure operation. Optimizing resource efficiency is crucial for reducing energy consumption. Two new algorithms developed for anomaly detection in WSNs
Externí odkaz:
https://doaj.org/article/d8c50873a2174537a4a6c0aa50ece3ee
Autor:
P. V. Pawar, S. D. Ghude, C. Jena, A. Móring, M. A. Sutton, S. Kulkarni, D. M. Lal, D. Surendran, M. Van Damme, L. Clarisse, P.-F. Coheur, X. Liu, G. Govardhan, W. Xu, J. Jiang, T. K. Adhya
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 6389-6409 (2021)
Limited availability of atmospheric ammonia (NH3) observations limits our understanding of controls on its spatial and temporal variability and its interactions with the ecosystem. Here we used the Model for Ozone and Related chemical Tracers version
Externí odkaz:
https://doaj.org/article/4ae0e85310ae44f38484451cd3a4da80
Autor:
A, Sureshkumar1 (AUTHOR) a.sureshkumar@skct.edu.in, D, Surendran2 (AUTHOR)
Publikováno v:
International Journal of Communication Systems. Sep2022, Vol. 35 Issue 14, p1-20. 20p.
Autor:
P. S. Soyam, P. D. Safai, S. Mukherjee, S. Kondle, S. Bankar, K. Todekar, N. Malap, D. Surendran, A. Gaikwad, S. Lohogaonkar, T. Prabhakaran
Publikováno v:
Journal of Atmospheric Chemistry.
Akademický článek
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Publikováno v:
Applied Geomatics; Dec2023, Vol. 15 Issue 4, p897-917, 21p
Autor:
D. Surendran, A. Arunkumar
Publikováno v:
Computer Systems Science and Engineering. 41:389-404
Publikováno v:
Journal of Electrical Engineering & Technology. 17:1445-1457
Alzheimer's disease (AD), cerebrovascular disease, Lewy-body disease, and Frontal–temporal degeneration disease are the age-related cognitive impairments that cause dementia. However, AD is the primary cause of dementia that causes brain cell degen
Autor:
M. Rohini, D. Surendran
In recent studies, several machine learning and deep learning prediction models have been proposed for the early detection and classification of various stages of Alzheimer's Disease (AD). Many years before the actual onset of AD, there occur several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba61c201e44859c96e6f69f78d2d7100
https://doi.org/10.21203/rs.3.rs-2140399/v1
https://doi.org/10.21203/rs.3.rs-2140399/v1
Autor:
Prabhu K, Edison, D, Surendran
Publikováno v:
ETRI Journal; Aug2023, Vol. 45 Issue 4, p594-602, 9p