Zobrazeno 1 - 10
of 89
pro vyhledávání: '"H. Khanna Nehemiah"'
Publikováno v:
Healthcare Analytics, Vol 2, Iss , Pp 100102- (2022)
This study develops a clinical decision support system to assist physicians with monitoring Polycystic Ovarian Syndrome (PCOS). The proposed method uses a classification model with optimization techniques and machine learning algorithms. The existenc
Externí odkaz:
https://doaj.org/article/4a8953cf2d1c41f78a82cfcec926fab4
Publikováno v:
Alexandria Engineering Journal, Vol 57, Iss 3, Pp 1631-1642 (2018)
Software maintenance is an essential part of any software that finds its use in the day-to-day activities of any organization. During the maintenance phase bugs detected must be corrected and the software must evolve with respect to changing requirem
Externí odkaz:
https://doaj.org/article/ec8760bed739450694a5f706b7377ee6
Publikováno v:
Alexandria Engineering Journal, Vol 57, Iss 3, Pp 1557-1567 (2018)
Background: Computer-aided diagnosis (CAD) systems for the detection of lung disorders play an important role in clinical decision making. CAD systems provide a second opinion to the physician in interpreting computed tomography (CT) images. In this
Externí odkaz:
https://doaj.org/article/364fa919efd04677bc4852cbfa22dbf4
Publikováno v:
In Expert Systems With Applications February 2023 212
Publikováno v:
Computer Journal; May2024, Vol. 67 Issue 5, p1993-2006, 14p
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:6183-6218
Premature mortality from cardiovascular disease can be reduced with early detection of heart failure by analysing the patients’ risk factors and assuring accurate diagnosis. This work proposes a clinical decision support system for the diagnosis of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db299f2ea26516e9e1640b933f7b922e
https://doi.org/10.3233/jifs-221348
https://doi.org/10.3233/jifs-221348
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:7243-7260
Software developers find it difficult to select the specific detection rules for different smell types. A set of metrics, thresholds and labels constitutes a code smells detection rule. The generated rules must be optimized efficiently to ensure succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::484cd43283e8954206fd426cc26ead87
https://doi.org/10.3233/jifs-220474
https://doi.org/10.3233/jifs-220474
Publikováno v:
The Imaging Science Journal. 70:413-438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935242204f03bb2a7422d4bfbbcfa3ab
https://doi.org/10.1080/13682199.2023.2170768
https://doi.org/10.1080/13682199.2023.2170768
Publikováno v:
IETE Journal of Research. :1-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68419161a9d0b0e7dd89da7caa7e9db5
https://doi.org/10.1080/03772063.2021.2007798
https://doi.org/10.1080/03772063.2021.2007798
Publikováno v:
Scientific Programming.
Software maintenance is an imperative step in software development. Code smells can arise as a result of poor design as well as frequent code changes due to changing needs. Early detection of code smells during software development can help with soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae257bcf5c245ba7c2bed552987a8cdf