Výsledky vyhledávání - "Kareemulla Shaik"

Akademický článek

An Integrated Two-Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers

Autor: D. Yaso Omkari, Kareemulla Shaik

Publikováno v: IEEE Access, Vol 12, Pp 56275-56290 (2024)

Cardiovascular problems have emerged as a significant concern, adversely impacting individuals across all age groups. Several recent research studies have used Machine learning (ML) techniques to design decision-making systems for the tremendous data

Externí odkaz: https://doaj.org/article/9a4110010fb34664a48333b11fe3cb8d

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Akademický článek

Corrections to 'An Integrated Two Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers'

Autor: D. Yaso Omkari, Kareemulla Shaik

Publikováno v: IEEE Access, Vol 12, Pp 162564-162564 (2024)

Presents corrections to the paper, (Corrections to “An Integrated Two Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers”).

Externí odkaz: https://doaj.org/article/6d8210133b79405b90b344aed4154c99

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Akademický článek

Cloud Services User’s Recommendation System Using Random Iterative Fuzzy-Based Trust Computation and Support Vector Regression

Autor: Janjhyam Venkata Naga Ramesh, Syed Khasim, Mohamed Abbas, Kareemulla Shaik, Mohammad Zia Ur Rahman, Muniyandy Elangovan

Publikováno v: Mathematics, Vol 11, Iss 10, p 2332 (2023)

Cloud computing is now a fundamental type of computing due to technological innovation and it is believed to be a benefit for mid-scale enterprises. The use of cloud computing is increasing daily, which improves service quality but also gives rise to

Externí odkaz: https://doaj.org/article/23247b584e8842d0b70c7025e09ee2ea

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Akademický článek

Big Data Analytics Framework Using Squirrel Search Optimized Gradient Boosted Decision Tree for Heart Disease Diagnosis

Autor: Kareemulla Shaik, Janjhyam Venkata Naga Ramesh, Miroslav Mahdal, Mohammad Zia Ur Rahman, Syed Khasim, Kanak Kalita

Publikováno v: Applied Sciences, Vol 13, Iss 9, p 5236 (2023)

Disease detection is a critical issue in the field of medical diagnostics. Failure to identify heart disease (HD) at an early stage can lead to mortality. The lack of access to expert physicians in remote areas further exacerbates the problem. Big da

Externí odkaz: https://doaj.org/article/ed5a27692d2c4c94a43c021534aebb67

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