Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Emmanuel Oluwatobi Asani"'
Autor:
Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi A. Adegun, Serestina Viriri, Joyce A. Ayoola, Ebenezer Ayorinde Kolawole
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/a0a21624e2004a699553ee029a64ed02
Autor:
Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi A. Adegun, Serestina Viriri, Joyce A. Ayoola, Ebenezer Ayorinde Kolawole
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
The devastating effect of plant disease infestation on crop production poses a significant threat to the attainment of the United Nations' Sustainable Development Goal 2 (SDG2) of food security, especially in Sub-Saharan Africa. This has been further
Externí odkaz:
https://doaj.org/article/f3746fd5628042d3a66918ce37ab1fe9
Autor:
Roseline Oluwaseun Ogundokun, Elijah Iseoluwa Soladoye, Emmanuel Oluwatobi Asani, Oladipupo Akande, Oluwaseun Joshua Ishola, Oyinkansola Akinwumi, Charity Onye Aremu, Akinbowale Nathaniel Babatunde
Publikováno v:
2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG).
Autor:
Udochukwu Iheanacho Erondu, Emmanuel Oluwatobi Asani, Michael Olaolu Arowolo, Amit Kumar Tyagi, Nehemiah Adebayo
Publikováno v:
Advances in Medical Technologies and Clinical Practice ISBN: 9781668457412
As the amount of data being sent has risen dramatically in recent years; protecting that data has become increasingly important. Cryptography is the process of transforming plain text messages into ones that can no longer be decoded. An information s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e3498e56006366ed1ceb37f110f4e91
https://doi.org/10.4018/978-1-6684-5741-2.ch009
https://doi.org/10.4018/978-1-6684-5741-2.ch009
Publikováno v:
Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention ISBN: 9781668475447
Machine learning techniques such as deep learning methods have produced promising results in medical images analysis. This work proposes a user-friendly system that utilizes deep learning techniques for detecting and diagnosing diseases using medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3425648003ecbf817e20b878646a2e5
https://doi.org/10.4018/978-1-6684-7544-7.ch081
https://doi.org/10.4018/978-1-6684-7544-7.ch081
Publikováno v:
Proceedings of Sixth International Congress on Information and Communication Technology ISBN: 9789811621017
Proceedings of Sixth International Congress on Information and Communication Technology
Proceedings of Sixth International Congress on Information and Communication Technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a70c9e6605bc4aa10deee910ceb0d20
https://doi.org/10.1007/978-981-16-2102-4_60
https://doi.org/10.1007/978-981-16-2102-4_60
Autor:
Adebayo Omotosho, Olumide Babatope Longe, Joyce Ayoola, Peace Ayegba, Emmanuel Oluwatobi Asani, Paul Danquah
Over the years, electronic mail (e-mail) has been the target of several malicious attacks. Phishing is one of the most recognizable forms of manipulation aimed at e-mail users and usually, employs social engineering to trick innocent users into suppl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eb8437ca57e1058145cb00021022e9c
https://zenodo.org/record/5851908
https://zenodo.org/record/5851908
Publikováno v:
Journal of Engineering and Applied Sciences. 14:4419-4429
Publikováno v:
Journal of Engineering and Applied Sciences. 14:3732-3740
Publikováno v:
Journal of Engineering and Applied Sciences. 14:7669-7678