Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Assegie, Tsehay Admassu"'
Autor:
Assegie, Tsehay Admassu1 tsehayadmassu2006@gmail.com, Manivannan, Bommy2 bommym@mits.ac.in, Napa, Komal Kumar3 komalkumarnapa@gmail.com, Pillai Vijayammal, Bindu Kolappa4 bindu@rmkcet.ac.in, Govindarajan, Rajkumar3 kumar3544@gmail.com, Murugan, Sangeetha2 sangee525@gmail.com, Mekonnen, Atinkut Molla5 atinkut19@gmail.com
Publikováno v:
Telkomnika. Jun2024, Vol. 22 Issue 3, p673-680. 8p.
Autor:
Assegie, Tsehay Admassu, Salau, Ayodeji Olalekan, Sampath, Kanimozhi, Govindarajan, Rajkumar, Murugan, Sangeetha, Lakshmi, B.
Publikováno v:
In Procedia Computer Science 2024 235:1000-1007
Autor:
ASSEGIE, Tsehay Admassu, MURUGAN, Sangeetha, GOVINDARAJAN, Rajkumar, NAPA, Komal Kumar, D., Nageswari
Publikováno v:
Przegląd Elektrotechniczny; 2024, Issue 7, p140-143, 4p
Publikováno v:
Iraqi Journal of Science. 2022, Vol. 63 Issue 9, p3947-3953. 7p.
Autor:
Salau, Ayodeji Olalekan, Assegie, Tsehay Admassu, Markus, Elisha Didam, Eneh, Joy Nnenna, Ozue, ThankGod Izuchukwu
Publikováno v:
International Journal of Electrical & Computer Engineering (2088-8708); Apr2024, Vol. 14 Issue 2, p1809-1815, 7p
Autor:
Chikol, Yilachew Getachew, Assegie, Tsehay Admassu, Mohmmad, Shaimaa Hadi, Salau, Ayodeji Olalekan, Liu Yanhui, Braide, Sepiribo Lucky
Publikováno v:
Bulletin of Electrical Engineering & Informatics; Feb2024, Vol. 13 Issue 1, p686-692, 6p
Autor:
KUMAR, Angati Kalyan, ASSEGIE, Tsehay Admassu, SALAU, Ayodeji Olalekan, NAPA, Komal Kumar, R., Suguna
Publikováno v:
Przegląd Elektrotechniczny; 2024, Vol. 2024 Issue 2, p145-148, 4p
Autor:
Suresh, Tamilarasi, Assegie, Tsehay Admassu, Ganesan, Sangeetha, Tulasi, Ravulapalli Lakshmi, Mothukuri, Radha, Salau, Ayodeji Olalekan
Publikováno v:
International Journal of Electrical & Computer Engineering (2088-8708); Oct2023, Vol. 13 Issue 5, p5764-5769, 6p
Akademický článek
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Autor:
Assegie, Tsehay Admassu, Karpagam, Thulasi, Subramanian, Sathya, Janakiraman, Senthil Murugan, Arumugam, Jayanthi, Ahmed, Dawed Omer
The existing heart failure risk prediction models are developed based on machine learning predictors. The objective of this study is to identify the key risk factors that affect the survival time of heart patients and to develop a heart failure survi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::05b400b91b46518b145bab2a2e53c9ad
https://zenodo.org/record/7192194
https://zenodo.org/record/7192194
