Zobrazeno 1 - 10
of 38
pro vyhledávání: '"V. Sellam"'
Autor:
V, Sellam1 (AUTHOR) sellamveera@gmail.com, Natrajan, Kannan2 (AUTHOR), S, Senthil Pandi3 (AUTHOR), K, Sathish Kumar4 (AUTHOR)
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. Jan2024, p1-26. 26p. 11 Illustrations, 11 Charts.
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:3717-3723
In the last decade, the digital world has widely changed how we handle our daily actions on the internet. India has the second-largest internet users in the globe with about 370 million users. The Indian business market has understood the significanc
Autor:
V Sellam
Publikováno v:
International Journal of Psychosocial Rehabilitation. 24:2600-2605
Publikováno v:
INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021).
Study on Non-Intrusive Context Aware Transactional Framework to Derive Business Insights on Big Data
To convert invisible, unstructured and time-sensitive machine data into information for decision making is a challenge. Tools available today handle only structured data. All the transaction data are getting captured without understanding its future
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b065e041f49566c7b38287b14821a5e
https://doi.org/10.9734/bpi/tpmcs/v7/6603d
https://doi.org/10.9734/bpi/tpmcs/v7/6603d
Publikováno v:
Cognitive Internet of Medical Things for Smart Healthcare ISBN: 9783030558321
At present times, Edge-computing acts as a critical part in remote healthcare systems as hospitals deploy Internet of Medical Things (IoMT) for medicinal applications. A major limitation of edge computing based IoMT systems comprises the conservation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f759f2b5c11a27b60952f71735b002
https://doi.org/10.1007/978-3-030-55833-8_6
https://doi.org/10.1007/978-3-030-55833-8_6
Akademický článek
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Autor:
V.Lasya Reddy, V. Sellam
Publikováno v:
International Journal of MC Square Scientific Research. 9:280-287
Publikováno v:
Journal of Signal and Information Processing. :73-78
To convert invisible, unstructured and time-sensitive machine data into information for decision making is a challenge. Tools available today handle only structured data. All the transaction data are getting captured without understanding its future
Autor:
Adhiyaman Manickam, Rajkumar Soundrapandiyan, Syed Muhammad Saqlain, Rishin Haldar, V. Sellam
Publikováno v:
Journal of Electronic Imaging. 28:1
Proper classification of fingerprints still poses difficult issues in large-scale databases due to ambiguity in intraclass and interclass structures, discontinuity in low-quality images, and ridges. To address these challenges, we propose a feature n