Zobrazeno 1 - 10
of 18
pro vyhledávání: '"S. Aarathi"'
Autor:
A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran, Suresh Guluwadi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, especially in Magnetic resonance imaging(MRI). Current methodologies reliant on traditional image processing and conventional machine learning e
Externí odkaz:
https://doaj.org/article/90abd025465149b196d1c30b7d02d366
Publikováno v:
Journal of Veterinary and Animal Sciences, Vol 54, Iss 2, Pp 583-588 (2023)
A survey was conducted (March 2020 to October 2020) on biosecurity practices, disease occurrence and antimicrobial usage of 77 broiler farms from five districts of Northern Kerala. Data were collected through a questionnaire and field-level disease
Externí odkaz:
https://doaj.org/article/ad6288db125c40beb8158b530cc1b875
Autor:
S., Aarathi, S., Vasundra
Publikováno v:
International Journal of Pervasive Computing and Communications, 2021, Vol. 20, Issue 1, pp. 1-18.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-03-2021-0080
Akademický článek
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Publikováno v:
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI).
Autor:
S Vasundra, S Aarathi
Publikováno v:
International Journal of Pervasive Computing and Communications.
Purpose Pervasive analytics act as a prominent role in computer-aided prediction of non-communicating diseases. In the early stage, arrhythmia diagnosis detection helps prevent the cause of death suddenly owing to heart failure or heart stroke. The a
Akademický článek
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Publikováno v:
Handbook of Environmental Materials Management ISBN: 9783319585383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c5f519c526477d8ea38b0035b3d53a
https://doi.org/10.1007/978-3-319-73645-7_59
https://doi.org/10.1007/978-3-319-73645-7_59
Publikováno v:
IECON
Smart sensing, devices, and monitoring are essential to localized motor condition monitoring and service applications. A unique approach to the smart device is the use of low-cost wireless sensors for machine condition measurement. Smartphones may be
Autor:
Anish Abraham, K. S. Aarathi
Publikováno v:
2017 International Conference on Inventive Communication and Computational Technologies (ICICCT).
Recent years the number of vehicles increases tremendously. Because of that to identify the vehicle is significant task. Vehicle color and number plate recognition are various ways to identify the vehicle. So Vehicle color recognition essential part