Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Suraiya Parveen"'
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Pp 1871-1878 (2024)
Heart disease or Cardiovascular illness is the most prevalent cause of mortality globally. The challenge of predicting heart illness using clinical data analytics is considerable. Machine learning (ML) has been extensively used in the medical domain
Externí odkaz:
https://doaj.org/article/91c495ea3a5c4fd8bad548790addb2fe
This paper draws attention to the Ayushman Bharat Health Account (ABHA), which constitutes a pivotal element of the Ayushman Bharat Digital Mission (ABDM) implemented in India. The ABHA database functions as a centralised repository of health-related
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53aecc600378f318a4556056c3812282
https://doi.org/10.21203/rs.3.rs-2961416/v1
https://doi.org/10.21203/rs.3.rs-2961416/v1
Publikováno v:
Intelligent Data Engineering and Analytics ISBN: 9789811975233
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a9cc143d9341c165de98a2be34ad3a7
https://doi.org/10.1007/978-981-19-7524-0_14
https://doi.org/10.1007/978-981-19-7524-0_14
Autor:
Sidra Ali, Suraiya Parveen
Publikováno v:
Intelligent Communication Technologies and Virtual Mobile Networks ISBN: 9789811918438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59cb7c35941a2e6a235f396fde3d99b1
https://doi.org/10.1007/978-981-19-1844-5_34
https://doi.org/10.1007/978-981-19-1844-5_34
Publikováno v:
ICT Systems and Sustainability ISBN: 9789811659867
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aa2fd8c14d07742846bd2fa8db19c60
https://doi.org/10.1007/978-981-16-5987-4_3
https://doi.org/10.1007/978-981-16-5987-4_3
Publikováno v:
Expert Clouds and Applications ISBN: 9789811924996
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fc4d917f7b45559e6320c3cec26b14e
https://doi.org/10.1007/978-981-19-2500-9_42
https://doi.org/10.1007/978-981-19-2500-9_42
Autor:
Faizul Aqtab, Suraiya Parveen
Publikováno v:
Proceedings of Data Analytics and Management ISBN: 9789811662881
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8930b20a76f773c9ff255394d4cdca68
https://doi.org/10.1007/978-981-16-6289-8_50
https://doi.org/10.1007/978-981-16-6289-8_50
Publikováno v:
Jahangirnagar University Journal of Biological Sciences. 8:25-33
Protein, lipid, ash and moisture content in the body muscles of two commonly available puffer fish species in Bangladesh (Leiodon cutcutia and Dichtomyctere fluviatilis) have been analysed from January 2018 to June, 2018. The puffer fish species were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bc3827406488e73ad20c84dc3b56933
https://doi.org/10.3329/jujbs.v8i1.42465
https://doi.org/10.3329/jujbs.v8i1.42465
Autor:
Suraiya Parveen, Zoheb Hasan
Publikováno v:
International Journal of Advanced Research in Computer Science. 10:38-42
Cloud Computing has become a well-liked computing paradigm that has gained huge attention in delivering on-demand services. Task scheduling in cloud computing is a crucial issue that has been well researched and lots of algorithms are developed for i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a7d9671dc013e16f2ef2f654afd7b1d
https://doi.org/10.26483/ijarcs.v10i1.6361
https://doi.org/10.26483/ijarcs.v10i1.6361
Autor:
Suraiya Parveen, Javeria Shah
Publikováno v:
2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV).
This paper suggests a motion detection software system that enables us to see the movement around an object or a visual area. Motion detection software is widely preferred as one of the most important security features in recent days. It is used to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c3b9b93322a7c52a55483a3bd64a1cf
https://doi.org/10.1109/icicv50876.2021.9388404
https://doi.org/10.1109/icicv50876.2021.9388404