Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Samita Bai"'
Publikováno v:
IEEE Access, Vol 12, Pp 31014-31035 (2024)
In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has become pervasive across a spectrum of real-world applications, often in safety-critical contexts. This comprehensive research article rigorously investigat
Externí odkaz:
https://doaj.org/article/8f1858deb8a04fd29a67517d4d7c6aad
Autor:
Samita Bai, Shakeel Ahmed Khoja
Publikováno v:
International Journal on Semantic Web and Information Systems. 17:25-49
The link traversal strategies to query Linked Data over WWW can retrieve up-to-date results using a recursive URI lookup process in real-time. The downside of this approach comes with the query patterns having subject unbound (i.e. ?S rdf:type:Class)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef28e62654be94b3cd823e1164b272f
https://doi.org/10.4018/ijswis.2021010102
https://doi.org/10.4018/ijswis.2021010102
Publikováno v:
2019 7th International Conference on Smart Computing & Communications (ICSCC).
Syntax Tree (AST) is one of the main requirements to extract semantic information from a mathematical expression given in LATEX format and to make it machine readable for its interoperability in heterogeneous environments. In this paper, a grammar-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac62dc111b4baf6a82c99f2c1b051d08
https://doi.org/10.1109/icscc.2019.8843592
https://doi.org/10.1109/icscc.2019.8843592
Reduction of Variables for Predicting Breast Cancer Survivability Using Principal Component Analysis
Publikováno v:
CBMS
This research uses breast cancer data from the Surveillance, Epidemiology, and End Results (SEER) dataset's (1973-2010), which contains 684394 records. It is cleaned using several data pre-processing techniques. Survivability predictions are proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1196dfafdc273a50bccf3ac52a4afd1
https://doi.org/10.1109/cbms.2015.62
https://doi.org/10.1109/cbms.2015.62
Publikováno v:
AICCSA
Performance evaluation of faculty members in a higher education is a serious challenge for management. Several qualitative and quantitative factors are considered leading to targeted professional growth of an organization to evaluate the performance,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82e73aee5e42e025647ed85192a9f300
https://doi.org/10.1109/aiccsa.2014.7073187
https://doi.org/10.1109/aiccsa.2014.7073187