Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity
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...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Viçosa (UFV)
2022-09-01
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| Series: | The Journal of Engineering and Exact Sciences |
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| Online Access: | https://periodicos.ufv.br/jcec/article/view/14713 |
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| _version_ | 1832569764609785856 |
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| author | Chinnaraji Annamalai |
| author_facet | Chinnaraji Annamalai |
| author_sort | Chinnaraji Annamalai |
| collection | DOAJ |
| 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.
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| format | Article |
| id | doaj-art-e22b51055515472a86e7e88d466367f9 |
| institution | Kabale University |
| issn | 2527-1075 |
| language | English |
| publishDate | 2022-09-01 |
| publisher | Universidade Federal de Viçosa (UFV) |
| record_format | Article |
| series | The Journal of Engineering and Exact Sciences |
| spelling | doaj-art-e22b51055515472a86e7e88d466367f92025-02-02T19:56:05ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752022-09-018810.18540/jcecvl8iss8pp14713-01iCombinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and CybersecurityChinnaraji Annamalai0Indian Institute of Technology Kharagpur 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. https://periodicos.ufv.br/jcec/article/view/14713algorithm, combinatorics, computation, multinomial coefficient |
| spellingShingle | Chinnaraji Annamalai Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity The Journal of Engineering and Exact Sciences algorithm, combinatorics, computation, multinomial coefficient |
| title | 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_short | 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 |
| topic | algorithm, combinatorics, computation, multinomial coefficient |
| url | https://periodicos.ufv.br/jcec/article/view/14713 |
| work_keys_str_mv | AT chinnarajiannamalai combinatorialandmultinomialcoefficientsanditscomputingtechniquesformachinelearningandcybersecurity |