Zobrazeno 1 - 10
of 58
pro vyhledávání: '"V. E. Sathishkumar"'
Autor:
V. E. Sathishkumar
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Externí odkaz:
https://doaj.org/article/4b13839a368e475b986e15b08d0fc5b5
Publikováno v:
IEEE Access, Vol 12, Pp 151770-151784 (2024)
Environmental micro-organisms (EM) play a crucial role in ecosystems, contributing to nutrient cycling, bioremediation and, supporting overall biodiversity. The identification and classification of these microbes are of significant importance for env
Externí odkaz:
https://doaj.org/article/05d327a48ac242eca268dd3e96bb26ac
Autor:
Kogilavani Shanmugavadivel, V. E. Sathishkumar, Sandhiya Raja, T. Bheema Lingaiah, S. Neelakandan, Malliga Subramanian
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Sentiment analysis is a process in Natural Language Processing that involves detecting and classifying emotions in texts. The emotion is focused on a specific thing, an object, an incident, or an individual. Although some tasks are concerned
Externí odkaz:
https://doaj.org/article/fa833b9cbf7d4de6ac9b3882731184d9
Autor:
Yang, Daejeong, Ramu, Adam Gopal, Lee, Youngjin, Kim, Sungjin, Jeon, Heungwoo, V E, Sathishkumar, Al-Mohaimeed, Amal M., Al-onazi, Wedad A., Algarni, Tahani saad, Choi, Dongjin
Publikováno v:
In Journal of King Saud University - Science May 2021 33(3)
Autor:
Shanthi, N.1 (AUTHOR), V E, Sathishkumar2 (AUTHOR), Upendra Babu, K.3 (AUTHOR), Karthikeyan, P.4 (AUTHOR), Rajendran, Sukumar4 (AUTHOR), Allayear, Shaikh Muhammad5 (AUTHOR)
Publikováno v:
Computational Intelligence & Neuroscience. 9/26/2022, p1-13. 13p.
Autor:
V. E., Sathishkumar1 (AUTHOR), Cho, Yongyun1 (AUTHOR) yycho@scnu.ac.kr
Publikováno v:
Computational Intelligence. Feb2024, Vol. 40 Issue 1, p1-26. 26p.
Publikováno v:
Scalable Computing: Practice & Experience; Jan2024, Vol. 25 Issue 1, p25-33, 9p
Autor:
Bharat Subedi, V. E. Sathishkumar, V. Maheshwari, M. Sandeep Kumar, Prabhu Jayagopal, Shaikh Muhammad Allayear
Publikováno v:
Mathematical Problems in Engineering. 2022:1-20
As training deep neural networks enough requires a large amount of data, there have been a lot of studies to deal with this problem. Data augmentation techniques are basic solutions to increase training data using existing data. Geometric transformat
Publikováno v:
PLoS ONE, 18(5):e0283086, 1-21. Public Library of Science
In this paper, we investigate the spread of COVID-19 and the impact of government measures at the early stage of the pandemic (before the introduction of the vaccines) in the Netherlands. We build a multiple linear regression model to predict the eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85f639bb3975e579593ecbcc179a422e
https://research.utwente.nl/en/publications/fdc8519f-7978-4587-89f2-2ba5e930b6de
https://research.utwente.nl/en/publications/fdc8519f-7978-4587-89f2-2ba5e930b6de
Autor:
S. Anbukkarasi, D. Elangovan, Jayalakshmi Periyasamy, V. E. Sathishkumar, S. Sree Dharinya, M. Sandeep Kumar, J. Prabhu
Publikováno v:
International Journal of Reliability, Quality and Safety Engineering.
Transliteration is the process of mapping the character of one language to the character of some other language based on its phonetics. India is very much diverse in languages where people speak different languages. Though they speak different langua