Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Karna Vishnu Vardhana Reddy"'
1
Akademický článek
The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works
Autor: Alberto Borboni, Karna Vishnu Vardhana Reddy, Irraivan Elamvazuthi, Maged S. AL-Quraishi, Elango Natarajan, Syed Saad Azhar Ali
Publikováno v: Machines, Vol 11, Iss 1, p 111 (2023)
A collaborative robot, or cobot, enables users to work closely with it through direct communication without the use of traditional barricades. Cobots eliminate the gap that has historically existed between industrial robots and humans while they work
Externí odkaz: https://doaj.org/article/71caba68d6ea4c6bbd77273d67461cbf
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2
Akademický článek
An Efficient Prediction System for Coronary Heart Disease Risk Using Selected Principal Components and Hyperparameter Optimization
Autor: Karna Vishnu Vardhana Reddy, Irraivan Elamvazuthi, Azrina Abd Aziz, Sivajothi Paramasivam, Hui Na Chua, Satyamurthy Pranavanand
Publikováno v: Applied Sciences, Vol 13, Iss 1, p 118 (2022)
Medical science-related studies have reinforced that the prevalence of coronary heart disease which is associated with the heart and blood vessels has been the most significant cause of health loss and death globally. Recently, data mining and machin
Externí odkaz: https://doaj.org/article/17116e0e065c46b0939c5b984ef5c5a9
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3
Akademický článek
Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators
Autor: Karna Vishnu Vardhana Reddy, Irraivan Elamvazuthi, Azrina Abd Aziz, Sivajothi Paramasivam, Hui Na Chua, S. Pranavanand
Publikováno v: Applied Sciences, Vol 11, Iss 18, p 8352 (2021)
Cardiovascular diseases (CVDs) kill about 20.5 million people every year. Early prediction can help people to change their lifestyles and to ensure proper medical treatment if necessary. In this research, ten machine learning (ML) classifiers from di
Externí odkaz: https://doaj.org/article/46483fcd55224daeb1f95beab28b3346
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6
Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators
Autor: S. Pranavanand, Karna Vishnu Vardhana Reddy, Hui Na Chua, Irraivan Elamvazuthi, Azrina Abd Aziz, Sivajothi Paramasivam
Publikováno v: Applied Sciences
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8352, p 8352 (2021)
Cardiovascular diseases (CVDs) kill about 20.5 million people every year. Early prediction can help people to change their lifestyles and to ensure proper medical treatment if necessary. In this research, ten machine learning (ML) classifiers from di
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d19562fdeb31b7f8b95818f5ef0a9c09
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9
Akademický článek
Enhancing Classification Performance through FeatureBoostThyro: A Comparative Study of Machine Learning Algorithms and Feature Selection.
Autor: Bhende, Deepali, Sakarkar, Gopal, Khandar, Punam, Uparkar, Satyajit, Bhave, Arvind
Publikováno v: International Journal of Online & Biomedical Engineering; 2024, Vol. 20 Issue 4, p29-42, 14p
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