Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jayashree Piri"'
Autor:
Jayashree Piri, Puspanjali Mohapatra, Harprith Kaur Rajinder Singh, Biswaranjan Acharya, Tapas Kumar Patra
Publikováno v:
IEEE Access, Vol 10, Pp 100376-100396 (2022)
This work aims to discover the relevant factors to predict the health condition of COVID-19 patients by employing a fresh and enhanced binary multi-objective hybrid filter-wrapper chimp optimization (EBMOChOA-FW) based feature selection (FS) approach
Externí odkaz:
https://doaj.org/article/53b15d9518b843008a30c13a34f0cc63
Autor:
Jayashree Piri, Puspanjali Mohapatra, Manas Ranjan Pradhan, Biswaranjan Acharya, Tapas Kumar Patra
Publikováno v:
IEEE Access, Vol 10, Pp 1756-1774 (2022)
Medical datasets frequently include vast feature sets with numerous features that are related to one another. As a result, the curse of dimensionality affects learning from a medical dataset to discover significant characteristics, making it necessar
Externí odkaz:
https://doaj.org/article/8ca6b13662954ea0b9faeed4055e79c8
Autor:
Jayashree Piri, Puspanjali Mohapatra, Debabrata Singh, Debabrata Samanta, Dilbag Singh, Manjit Kaur, Heung-No Lee
Publikováno v:
IEEE Access, Vol 10, Pp 32622-32638 (2022)
The rate of infant mortality (IMR) in a population under one year of age is a marker for infant mortality. It is a major sensitive marker of a community’s overall physical health. Protecting the lives of newborns has become a challenging issue in p
Externí odkaz:
https://doaj.org/article/e5f5479f12ca4adab254d842fed301c4
Autor:
Jayashree Piri, Puspanjali Mohapatra, Raghunath Dey, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos
Publikováno v:
Algorithms, Vol 16, Iss 3, p 167 (2023)
The efficiency and the effectiveness of a machine learning (ML) model are greatly influenced by feature selection (FS), a crucial preprocessing step in machine learning that seeks out the ideal set of characteristics with the maximum accuracy possibl
Externí odkaz:
https://doaj.org/article/482eacb1047544d196123bbe577a4382
Autor:
Jayashree Piri, Puspanjali Mohapatra, Biswaranjan Acharya, Farhad Soleimanian Gharehchopogh, Vassilis C. Gerogiannis, Andreas Kanavos, Stella Manika
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2742 (2022)
Feature selection (FS) is commonly thought of as a pre-processing strategy for determining the best subset of characteristics from a given collection of features. Here, a novel discrete artificial gorilla troop optimization (DAGTO) technique is intro
Externí odkaz:
https://doaj.org/article/3f664dc269974b47bfd5b47dba20702b
Publikováno v:
International Journal of Information Technology. 14:2803-2813
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::135a91d27e6c08597b4e2cfa93150e4e
https://doi.org/10.1007/s41870-022-01076-8
https://doi.org/10.1007/s41870-022-01076-8
Autor:
Ramachandraa Veluvarthi, Avinash Rameswarapu, K.V. Sai Kalyan, Jayashree Piri, Biswaranjan Acharya
Publikováno v:
2023 4th International Conference on Signal Processing and Communication (ICSPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::101a521df5d73f497c868eb69d6d4a91
https://doi.org/10.1109/icspc57692.2023.10125863
https://doi.org/10.1109/icspc57692.2023.10125863
Publikováno v:
International Journal of Information Technology. 14:1923-1935
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::054344b09a1bca3c20b76818919d0c17
https://doi.org/10.1007/s41870-022-00909-w
https://doi.org/10.1007/s41870-022-00909-w
Publikováno v:
2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18f9944b1b2acae6b7ee830b16da57be
https://doi.org/10.1109/icais56108.2023.10073837
https://doi.org/10.1109/icais56108.2023.10073837
Publikováno v:
2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14cc24da80786849e4feda3013f77b1c
https://doi.org/10.1109/mlcss57186.2022.00016
https://doi.org/10.1109/mlcss57186.2022.00016