Zobrazeno 1 - 10 of 194 pro vyhledávání: '"T. Vijayan"'
1
Akademický článek
Oceanic islands act as drivers for the genetic diversity of marine species: Cardita calyculata (Linnaeus, 1758) in the NE Atlantic as a case-study
Autor: Livia Sinigaglia, L Baptista, C Alves, F Feldmann, C Sacchetti, C Rupprecht, T Vijayan, E Martín-González, SP Ávila, AM Santos, M Curto, H Meimberg
Publikováno v: BMC Ecology and Evolution, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract Geographic distribution, as well as evolutionary and biogeographic processes and patterns of marine invertebrate benthic species are strongly shaped by dispersal ability during the life cycle. Remote oceanic islands lie at the brink of compl
Externí odkaz: https://doaj.org/article/915a0d3e653a451db62c3f6eb3913dc3
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2
Predicting Level Measurements by Supervised Learning Based on Gabor and Smote Filters: An Industrial Non-Interacting Tanks Scenario
Autor: B. Kalaiselvi, B. Karthik, A. Kumaravel, T. Vijayan
Publikováno v: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 31:165-179
Fluid - Level measurement is required in recognizing the state variable of a Level processing plant for monitoring the level deviations in most the industrial plants. This issue has mostly been addressed by conventional methods using level sensors an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5dea1fb64685dc8ce1f47e1418193676
https://doi.org/10.1142/s0218488523400093
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3
Applications of Machine Learning in Chemical and Biological Oceanography
Autor: Balamurugan Sadaiappan, Preethiya Balakrishnan, Vishal C.R., Neethu T. Vijayan, Mahendran Subramanian, Mangesh U. Gauns
Publikováno v: ACS Omega. 8:15831-15853
Machine learning (ML) refers to computer algorithms that predict a meaningful output or categorize complex systems based on a large amount of data. ML is applied in various areas including natural science, engineering, space exploration, and even gam
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65b7c673634692cbfa309337401bd802
https://doi.org/10.1021/acsomega.2c06441
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4
Feature Selection Model using Naive Bayes ML Algorithm for WSN Intrusion Detection System
Autor: Deepa Jeevaraj, B. Karthik, T. Vijayan, M. Sriram
Publikováno v: International journal of electrical and computer engineering systems. 14:179-185
Intrusion detection models using machine-learning algorithms are used for Intrusion prediction and prevention purposes. Wireless sensor network has a possibility of being attacked by various kinds of threats that will de-promote the performance of an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2674b86c3d487252b817a81231c553be
https://doi.org/10.32985/ijeces.14.2.7
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5
Akademický článek
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7
Feature Selection Model using Naive Bayes ML Algorithm for WSN Intrusion Detection System
Autor: B, Karthik, Jeevaraj, Deepa, T, Vijayan, M, Sriram
Publikováno v: International journal of electrical and computer engineering systems
Volume 14
Issue 2
Intrusion detection models using machine-learning algorithms are used for Intrusion prediction and prevention purposes. Wireless sensor network has a possibility of being attacked by various kinds of threats that will de-promote the performance of an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______951::ef01fd83be134885fda3830211d25fb2
https://hrcak.srce.hr/294587
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9
Akademický článek
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