Zobrazeno 1 - 10
of 36
pro vyhledávání: '"N. Kayarvizhy"'
Publikováno v:
2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP).
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811949593
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870e50b9c59d93c8f8c263d996a62447
https://doi.org/10.1007/978-981-19-4960-9_31
https://doi.org/10.1007/978-981-19-4960-9_31
Autor:
N. Kayarvizhy, V Sowmya
Publikováno v:
2021 2nd Global Conference for Advancement in Technology (GCAT).
With the rising spotlight on Data Science and Big data analytics in both private and public sectors, enormous amount of domain-specific information has been collected. Missing information is a typical issue and consequently has pulled in significant
Publikováno v:
2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT).
It is common for most people to check Amazon reviews of competing products before a purchase decision. However, the ratings and reviews could be from a customer who has not actually purchased the product on Amazon. There is also a chance that the rev
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811632457
Image processing techniques in consumer smartphones have brought about a revolution in the quality of photographs taken by absolute novice users. Even so, the photographers are hindered by unsuitable imaging conditions in their attempts to capture de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c31b8e718e56772c15f142cb34259e69
https://doi.org/10.1007/978-981-16-3246-4_49
https://doi.org/10.1007/978-981-16-3246-4_49
Akademický článek
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Akademický článek
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Autor:
Nandita Bangera, N. Kayarvizhy
Publikováno v:
2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT).
Analytics plays vital role in Data Science. It involves finding trends and patterns from the huge repository of data. Scanning huge amount of data consumes lot of time, which can be reduced by sampling. In this paper we have demonstrated effectivenes
Autor:
N. Kayarvizhy
Publikováno v:
International Journal of Computer Applications. 135:8-13
Tools that extract metrics from object oriented code are widely used as part of static code analysis which acts as a feedback mechanism for the managers, developers and other stake holders to improve the software quality. The software industry and ac
Publikováno v:
International Journal of Computer Applications. 73:18-25
oriented software metrics are computed and used in predicting software quality attributes of object oriented systems. Mapping software metrics to software quality attributes like fault prediction is a complex process and requires extensive computatio