Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nneka Ernestina Richard-Nnabu"'
Publikováno v:
Journal of Nigerian Society of Physical Sciences, Vol 6, Iss 4 (2024)
Sorting banknotes automatically in payment facilities or freewill donation boxes involves many tasks such as recognizing banknote denomination, fitness classification, and counterfeit detection. Different studies have addressed these problems using f
Externí odkaz:
https://doaj.org/article/4d7c334a45de4225831351779a8c21af
Autor:
Michael Onyema Edeh, Surjeet Dalal, Imed Ben Dhaou, Charles Chuka Agubosim, Chukwudum Collins Umoke, Nneka Ernestina Richard-Nnabu, Neeraj Dahiya
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Machine learning algorithms are excellent techniques to develop prediction models to enhance response and efficiency in the health sector. It is the greatest approach to avoid the spread of hepatitis C, especially injecting drugs, is to avoid these b
Externí odkaz:
https://doaj.org/article/777808ec15d04da9bf3d20263a0632b8
Autor:
Michael Onyema Edeh, Osamah Ibrahim Khalaf, Carlos Andrés Tavera, Sofiane Tayeb, Samir Ghouali, Ghaida Muttashar Abdulsahib, Nneka Ernestina Richard-Nnabu, AbdRahmane Louni
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Diabetes is considered to be one of the leading causes of death globally. If diabetes is not treated and detected early, it can lead to a variety of complications. The aim of this study was to develop a model that can accurately predict the likelihoo
Externí odkaz:
https://doaj.org/article/24dd419151784640bdb0d1f2a1356e96
Autor:
Edeh Michael Onyema, Nwafor Chika Eucheria, Ugboaja Samuel Gregory, Nneka Ernestina Richard-Nnabu, Akindutire Opeyemi Roselyn, Emmanuel Chukwuemeka Edeh, Ifeoma Ugwueke
Publikováno v:
Future Health Scenarios ISBN: 9781003227892
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::094cb8e74f4781529ae02d74f1806030
https://doi.org/10.1201/9781003227892-11
https://doi.org/10.1201/9781003227892-11
Autor:
Nneka Ernestina Richard-Nnabu, Samuel Obiora Okide, Tochukwu Arinze Ikwunne, Kelechi Christian Oketa, Uche-Nwachi Edward O
Publikováno v:
International Journal of Computer & Organization Trends. 11:20-25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd9a5acf817e4692831b7573499781e9
https://doi.org/10.14445/22492593/ijcot-v11i3p305
https://doi.org/10.14445/22492593/ijcot-v11i3p305
Autor:
Chinyere Ndukwe, Adeline Nnenna Idike, Ikechukwu Ogeze Ukeje, Cornelius Ofobuisi Okorie, Johnpaul Chukwujindu Onele, Nneka Ernestina Richard-Nnabu, Clementina Kanu, Benedette Nneka Okezie, Raphael Abumchukwu Ekwunife, Chijioke Jeol Nweke, Sunday Odo Nwangbo
Publikováno v:
Public Organization Review.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::201fbf7d2f1da2a204faad7d38a20aae
https://doi.org/10.1007/s11115-021-00579-5
https://doi.org/10.1007/s11115-021-00579-5
Autor:
Michael Onyema Edeh, Osamah Ibrahim Khalaf, Carlos Andrés Tavera, Sofiane Tayeb, Samir Ghouali, Ghaida Muttashar Abdulsahib, Nneka Ernestina Richard-Nnabu, AbdRahmane Louni
Publikováno v:
Frontiers in public health. 10
Diabetes is considered to be one of the leading causes of death globally. If diabetes is not treated and detected early, it can lead to a variety of complications. The aim of this study was to develop a model that can accurately predict the likelihoo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43af3bcf2cb0886bcd411c8dd729be8b
https://pubmed.ncbi.nlm.nih.gov/35433625
https://pubmed.ncbi.nlm.nih.gov/35433625