Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abdullahi Aminu Kazaure"'
Publikováno v:
Journal of Information Science Theory and Practice, Vol 12, Iss 1 (2024)
An online social network is a platform that is continuously expanding, which enables groups of people to share their views and communicate with one another using the Internet. The social relations among members of the public are significantly improve
Externí odkaz:
https://doaj.org/article/1f141ea58071410d8552efbf0223a613
Publikováno v:
Journal of Information Science Theory and Practice, Vol 11, Iss 4 (2023)
Cybercrime is a significant threat to Internet users, involving crimes committed using computers or computer networks. The landscape of cyberspace presents a complex terrain, making the task of tracing the origins of sensitive data a formidable and o
Externí odkaz:
https://doaj.org/article/b34556ebebdc495a9af7d84136584f0f
Autor:
Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara, Kemi Victoria Dada, Abubakar Malah Umar, Okafor Uchenwa Linus, Humaira Arshad, Abdullahi Aminu Kazaure, Usman Gana, Muhammad Ubale Kiru
Publikováno v:
IEEE Access, Vol 7, Pp 158820-158846 (2019)
The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries. Although significant progress achieved and surveyed in addressing ANN a
Externí odkaz:
https://doaj.org/article/0612e932a6844953aa6a1d059b57cd88
Autor:
Andrew Chinonso Nwanakwaugwu, Ugochukwu Okwudili Matthew, Abdullahi Aminu Kazaure, Khalid Haruna
Publikováno v:
Handbook of Research on Cybersecurity Risk in Contemporary Business Systems ISBN: 9781668472071
In the customer-oriented enterprise environment, data mining business intelligence (BI) performs key functions that enable business organizations to determine investment risks and estimate returns on investment. It aids in evaluating the gathered inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42d95db3c8163efdfcb2b33446427542
https://doi.org/10.4018/978-1-6684-7207-1.ch010
https://doi.org/10.4018/978-1-6684-7207-1.ch010
Autor:
Kemi Victoria Dada, Abiodun Esther Omolara, Aman Jantan, Abubakar Malah Umar, Abdullahi Aminu Kazaure, Humaira Arshad, Muhammad Ubale Kiru, Usman M. Gana, Oludare Isaac Abiodun, Okafor Uchenwa Linus
Publikováno v:
IEEE Access, Vol 7, Pp 158820-158846 (2019)
The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries. Although significant progress achieved and surveyed in addressing ANN a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21c1d7bd06d7017e03180283cde127e7
https://doi.org/10.1109/access.2019.2945545
https://doi.org/10.1109/access.2019.2945545
Autor:
Abdullahi Aminu Kazaure, Usman M. Gana, Ibrahim Inuwa Abdullahi, Aman Jantan, Ubale Muhammed Kiru, Mohd Najwadi Yusoff
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813368347
ACeS
ACeS
Cloud computing is a technology that tends to address our present and future challenges in the IT world, such as the cost of hardware and its power consumption, storage sizes are becoming smaller in comparison with the large volume of data in recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1421b6a4feb296097161e86cb9fb683
https://doi.org/10.1007/978-981-33-6835-4_33
https://doi.org/10.1007/978-981-33-6835-4_33
Autor:
Gana Mohammed Usman, Bahari Belaton, Abdullahi Aminu Kazaure, Sharifah Mashita Syed Mohamad, Muhammad Ubale Kiru
Publikováno v:
2020 IEEE Conference on Open Systems (ICOS).
The widespread adoption of automatic sliding doors in both commercial and non-commercial environments globally has necessitated the need to improve their efficiency, safety, and mode of operation. The automatic door gives access to go into or outside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81e3edc04af2c26592d5b33b8397a9e9
https://doi.org/10.1109/icos50156.2020.9293673
https://doi.org/10.1109/icos50156.2020.9293673