Zobrazeno 1 - 5
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pro vyhledávání: '"Umar Abdullahi Muhammad"'
Publikováno v:
World Journal of Advanced Research and Reviews. 15:541-551
This paper aims to develop a generic face detection and recognition system that will automate the process of collecting school attendance by recognizing students' frontal faces from classroom photographs. The reliability of the data collected is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f29d90fee58fb55c5683e108c2ea9a27
https://doi.org/10.30574/wjarr.2022.15.2.0864
https://doi.org/10.30574/wjarr.2022.15.2.0864
Handling personnel records using clock-in and clock-out, which are achieved either manually or by other devices, has several issues. This is evident in procedures such as leave of absence management, when an employee is needed to fill out a document
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdde022c778dd56918b5376024897e48
https://doi.org/10.21203/rs.3.rs-2360291/v1
https://doi.org/10.21203/rs.3.rs-2360291/v1
Publikováno v:
Umar Abdullahi Muhammad
Traditionally to diagnose malaria and compute the parasitemia, a microscope is being used, which involves the use of thick and thin blood smears. However, the efficiency in examining the blood smear depends on the expertise of the laboratory technici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c839260815708f4a3a007373a54be459
Akademický článek
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Autor:
Umar Abdullahi Muhammad
Publikováno v:
Proceedings of the 28th iSTEAMS Multidisciplinary & Inter-tertiary Research Conference.
Machine learning has been a subject undergoing intense study across many different industries and fortunately, companies are becoming gradually more aware of the various machine learning approaches to solve their problems. However, to fully harvest t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::689866c38507cf7a9e0da2544ebeab45
https://doi.org/10.22624/aims/isteams-2021/v28p17
https://doi.org/10.22624/aims/isteams-2021/v28p17