Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Emeka Ogbuju"'
Autor:
James Daniel Omaye, Emeka Ogbuju, Grace Ataguba, Oluwayemisi Jaiyeoba, Joseph Aneke, Francisca Oladipo
Publikováno v:
Artificial Intelligence in Agriculture, Vol 12, Iss , Pp 127-151 (2024)
Plant disease detection has played a significant role in combating plant diseases that pose a threat to global agriculture and food security. Detecting these diseases early can help mitigate their impact and ensure healthy crop yields. Machine learni
Externí odkaz:
https://doaj.org/article/d261ab175f874bb582ddefd4019291e6
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Website Uniform Resource Locator (URL) spoofing remains one of the ways of perpetrating phishing attacks in the twenty-first century. Hackers continue to employ URL spoofing to deceive naïve and unsuspecting consumers into releasing importa
Externí odkaz:
https://doaj.org/article/a0bfe1e69e4a4739a53df0bcbe7f0d2e
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110092- (2024)
African foods have socio-cultural significance that extends through migration, tourism, and marriage. Africans travel and integrate within the continent through intermarriages. There are over a thousand cultural aspects that differ such as language,
Externí odkaz:
https://doaj.org/article/d60a02c982d8474299aa1497cc9dbe75
Autor:
Emeka Ogbuju
Publikováno v:
Spektrum Industri: Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri, Vol 21, Iss 2, Pp 100-108 (2023)
The exposure to unpleasant emotions or content in messages can lead to health complications, including high blood pressure and several heart-related disorders. Hence, the identification of unpleasant emotions in written content can serve as a benefic
Externí odkaz:
https://doaj.org/article/7eaca71966684f449c49ca61919925af
Publikováno v:
Human Behavior and Emerging Technologies, Vol 2024 (2024)
Food recognition, a field under food computing, has significantly promoted people’s dietary decision-making and culinary customs. We present the design and evaluation of a sociocultural app for African food recognition using deep learning models su
Externí odkaz:
https://doaj.org/article/e9a04fba87c7464091bde0ba9ced108b
Publikováno v:
Ukrainian Journal of Educational Studies and Information Technology, Vol 11, Iss 4 (2023)
Lightning is a natural occurrence which is created through the mixture of hot and cold air in the cloud. Sudden occurrence of lightning has caused damages to many lives and properties, for this reason; there is a need to develop a system that can pre
Externí odkaz:
https://doaj.org/article/f7ce77236ff14c76ac948df7734b7482
Publikováno v:
Ukrainian Journal of Educational Studies and Information Technology, Vol 11, Iss 3 (2023)
Facial affective computing has gained popularity and become a progressive research area, as it plays a key role in human-computer interaction. However, many researchers lack the right technique to carry out a reliable facial affective computing effec
Externí odkaz:
https://doaj.org/article/040ec34c79ba4e8d84559a9d2ee107b2
Autor:
Patrick Obilikwu, Emeka Ogbuju
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-25 (2020)
Abstract Organizations may be related in terms of similar operational procedures, management, and supervisory agencies coordinating their operations. Supervisory agencies may be governmental or non-governmental but, in all cases, they perform oversig
Externí odkaz:
https://doaj.org/article/a17a2f489aba4f329a3200bb398b13ae
Autor:
Ezekiel Ogundepo, Sakinat Folorunso, Olubayo Adekanmbi, Olalekan Akinsande, Oluwatobi Banjo, Emeka Ogbuju, Francisca Oladipo, Olawale Abimbola, Ehizokhale Oseghale, Oluwatobi Babajide
Publikováno v:
Data in Brief, Vol 33, Iss , Pp 106424- (2020)
The coronavirus disease of 2019 (COVID-19) is a pandemic that is ravaging Nigeria and the world at large. This data article provides a dataset of daily updates of COVID-19 as reported online by the Nigeria Centre for Disease Control (NCDC) from Febru
Externí odkaz:
https://doaj.org/article/9c76cbfbec8b4254862def98cd0460a0
Autor:
Emeka Ogbuju, Ikechukwu Mpama, Temitope Martha Oluwafemi, Fati Oiza Ochepa, Joshua Agbogun, Victoria Yemi-Peters, Folusho O. Owoeye, Mercy Idoko, Bello Taoheed
Publikováno v:
Journal of Applied Artificial Intelligence. 3:13-23
The extraction of public opinions from online communication platforms can serve several purposes in corporate institutions, state politics, and governance. The analysis of these opinions may be useful for both immediate business decision making and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eeb27a690ceac64fea689cb065a99d0
https://doi.org/10.48185/jaai.v3i2.560
https://doi.org/10.48185/jaai.v3i2.560