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pro vyhledávání: '"Sudhakaran Gajendran"'
Autor:
Sudhakaran Gajendran, Revathi Muthusamy, Krithiga Ravi, Omkumar Chandraumakantham, Suguna Marappan
Publikováno v:
IEEE Access, Vol 12, Pp 45923-45935 (2024)
In this paper, a novel Elliptic Crypt with Secured Blockchain-backed Federated Q-Learning Framework is proposed to offer an intelligent healthcare system that mitigates the attacks and data misused by malicious intruders. Initially, the entered IoMT
Externí odkaz:
https://doaj.org/article/95a26cd0f8024906b6f4ec80f500184a
Publikováno v:
IEEE Access, Vol 12, Pp 24879-24893 (2024)
Intrusion detection is essential for safeguarding computer systems and networks against unauthorized access, malicious activities, and security breaches. Its application domains include network security, information security, and cybersecurity across
Externí odkaz:
https://doaj.org/article/9754d8027b3f4813b8dea3c79e66340d
Akademický článek
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Autor:
Suseela, Sellamuthu, Krithiga, Ravi, Revathi, Muthusamy, Sudhakaran, Gajendran, Bhavadharini, Reddiyapalayam Murugeshan
Publikováno v:
Concurrency & Computation: Practice & Experience; 3/10/2024, Vol. 36 Issue 6, p1-19, 19p
Publikováno v:
Computational Biology and Chemistry. 102:107808
The number of biomedical articles published is increasing rapidly over the years. Currently there are about 30 million articles in PubMed and over 25 million mentions in Medline. Among these fundamentals, Biomedical Named Entity Recognition (BioNER)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9934fac997b21da28a641bf1e5e4ab15
https://doi.org/10.1016/j.compbiolchem.2022.107808
https://doi.org/10.1016/j.compbiolchem.2022.107808