Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity

Detalhes bibliográficos
Autor(a) principal: Annamalai, Chinnaraji
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Engenharia Química e Química
Texto Completo: https://periodicos.ufv.br/jcec/article/view/14713
Resumo: Mathematical and combinatorial techniques with nonnegative integers are used as computing algorithms for the programs development to apply in artificial intelligence and cybersecurity. Methodological advances in combinatorics and mathematics play a vital role in artificial intelligence and machine learning for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. In connection with these ideas, this article is prepared for applications in computing science and cybersecurity. This paper presents computing and combinatorial formulae such as theorems on factorials, binomial, and multinomial coefficients and probability and binomial distributions.
id UFV-4_4d915079d5f5ee7549330986d82fb9b1
oai_identifier_str oai:ojs.periodicos.ufv.br:article/14713
network_acronym_str UFV-4
network_name_str Revista de Engenharia Química e Química
repository_id_str
spelling Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurityalgorithm, combinatorics, computation, multinomial coefficientMathematical and combinatorial techniques with nonnegative integers are used as computing algorithms for the programs development to apply in artificial intelligence and cybersecurity. Methodological advances in combinatorics and mathematics play a vital role in artificial intelligence and machine learning for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. In connection with these ideas, this article is prepared for applications in computing science and cybersecurity. This paper presents computing and combinatorial formulae such as theorems on factorials, binomial, and multinomial coefficients and probability and binomial distributions.Universidade Federal de Viçosa - UFV2022-09-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo, Manuscrito, Eventosapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1471310.18540/jcecvl8iss8pp14713-01iThe Journal of Engineering and Exact Sciences; Vol. 8 No. 8 (2022); 14713-01iThe Journal of Engineering and Exact Sciences; Vol. 8 Núm. 8 (2022); 14713-01iThe Journal of Engineering and Exact Sciences; v. 8 n. 8 (2022); 14713-01i2527-1075reponame:Revista de Engenharia Química e Químicainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/14713/7493Copyright (c) 2022 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAnnamalai, Chinnaraji2022-11-08T19:41:15Zoai:ojs.periodicos.ufv.br:article/14713Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/indexONGhttps://periodicos.ufv.br/jcec/oaijcec.journal@ufv.br||req2@ufv.br2446-94162446-9416opendoar:2022-11-08T19:41:15Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
title Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
spellingShingle Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
Annamalai, Chinnaraji
algorithm, combinatorics, computation, multinomial coefficient
title_short Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
title_full Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
title_fullStr Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
title_full_unstemmed Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
title_sort Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
author Annamalai, Chinnaraji
author_facet Annamalai, Chinnaraji
author_role author
dc.contributor.author.fl_str_mv Annamalai, Chinnaraji
dc.subject.por.fl_str_mv algorithm, combinatorics, computation, multinomial coefficient
topic algorithm, combinatorics, computation, multinomial coefficient
description Mathematical and combinatorial techniques with nonnegative integers are used as computing algorithms for the programs development to apply in artificial intelligence and cybersecurity. Methodological advances in combinatorics and mathematics play a vital role in artificial intelligence and machine learning for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. In connection with these ideas, this article is prepared for applications in computing science and cybersecurity. This paper presents computing and combinatorial formulae such as theorems on factorials, binomial, and multinomial coefficients and probability and binomial distributions.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo, Manuscrito, Eventos
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/14713
10.18540/jcecvl8iss8pp14713-01i
url https://periodicos.ufv.br/jcec/article/view/14713
identifier_str_mv 10.18540/jcecvl8iss8pp14713-01i
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/14713/7493
dc.rights.driver.fl_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 8 No. 8 (2022); 14713-01i
The Journal of Engineering and Exact Sciences; Vol. 8 Núm. 8 (2022); 14713-01i
The Journal of Engineering and Exact Sciences; v. 8 n. 8 (2022); 14713-01i
2527-1075
reponame:Revista de Engenharia Química e Química
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista de Engenharia Química e Química
collection Revista de Engenharia Química e Química
repository.name.fl_str_mv Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv jcec.journal@ufv.br||req2@ufv.br
_version_ 1800211190681436160

Registros relacionados