Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Matthew O. Adigun"'
Publikováno v:
IEEE Access, Vol 12, Pp 134779-134808 (2024)
To mitigate the rising threat of Android malware, researchers have been actively looking for mechanisms that will enable rapid and accurate malware detection. Recently, attention has been paid to the use of audio-based features derived through the us
Externí odkaz:
https://doaj.org/article/e35aee208f314910a054d8a689d8064b
Autor:
Samuel Tweneboah‐Koduah, Emmanuel Ampoma Affum, James Adu Ansere, Eric Gyamfi, Kwasi Adu‐Boahen Opare, Sunday Adeola Ajagbe, Matthew O. Adigun
Publikováno v:
IET Communications, Vol 17, Iss 14, Pp 1730-1740 (2023)
Abstract Among the technologies that have made 5G wireless communication successful are non‐orthogonal multiple access (NOMA) and cooperative NOMA. The distinction is that cooperative NOMA adds coding schemes to improve performance. Nevertheless, r
Externí odkaz:
https://doaj.org/article/f55d3bd2b6064fcdb1dcaecdbbb4011a
Autor:
Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, Matthew O. Adigun, Sunday Adeola Ajagbe
Publikováno v:
Egyptian Informatics Journal, Vol 24, Iss 2, Pp 313-325 (2023)
Fast Flux Botnet (FFB) is an advance method developed by cyber criminals to perpetrate distributed malicious attacks. The major problems of existing FFB detection systems are the vulnerability to evasion mechanisms, long detection time, and high dime
Externí odkaz:
https://doaj.org/article/4ab29671db3442ef8e7c2d1f4aca9eb3
Publikováno v:
Journal of Advanced Transportation, Vol 2024 (2024)
Road accidents are a major cause of injuries and deaths worldwide. Many accident victims lose their lives because of the late arrival of the emergency response team (ERT) at the accident site. Moreover, the ERT often lacks crucial visual information
Externí odkaz:
https://doaj.org/article/32ceb83d47804946b9d6a20e8f447a33
Autor:
Funmi W. Ipeayeda, Mayowa O. Oyediran, Sunday Adeola Ajagbe, Janet O. Jooda, Matthew O. Adigun
Publikováno v:
Results in Engineering, Vol 20, Iss , Pp 101572- (2023)
In recent years, multimodal biometric systems have gained significant attention due to their capacity to enhance recognition accuracy and robustness. The integration of multiple biometric traits, such as face, fingerprint, iris, and voice, has shown
Externí odkaz:
https://doaj.org/article/70183a8f5a1646919b604b572e170145
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2023 (2023)
The COVID-19 pandemic influenced the whole world and changed social life globally. Social distancing is an effective strategy adopted by all countries to prevent humans from being infected. Al-Quran is the holy book of Muslims and its listening and r
Externí odkaz:
https://doaj.org/article/c9c7b845f9ef40b79bd903a261ce831b
Publikováno v:
Indian Journal of Computer Science and Engineering. 13:1809-1821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::198f5c28c11aa86e3ba724977cfbf7f4
https://doi.org/10.21817/indjcse/2022/v13i6/221306102
https://doi.org/10.21817/indjcse/2022/v13i6/221306102
Autor:
Awotunde, Meenu Vijarania, Swati Gupta, Akshat Agrawal, Matthew O. Adigun, Sunday Adeola Ajagbe, Joseph Bamidele
Publikováno v:
Electronics; Volume 12; Issue 11; Pages: 2543
The Internet of Things (IoT) and cloud computing have revolutionized the technological era unabatedly. These technologies have impacted our lives to a great extent. The traditional cloud model faces a variety of complications with the colossal growth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::44b391c86f10627ac03a63d166547b56
Publikováno v:
Indonesian Journal of Information Systems. 5:48-63
Since their inaugural releases in 2007, Google’s Android and Apple’s iOS have grown to dominate the mobile OS market share. Currently, they jointly possess over 99% of the global market share with Android being the leading mobile Operating System
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::522a2c5aedfb272ce1455056652dd896
https://doi.org/10.24002/ijis.v5i1.6266
https://doi.org/10.24002/ijis.v5i1.6266
Publikováno v:
Multimedia Tools and Applications.
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in the timely detection of any infectious disease (IDs) and is essential to the management of diseases and the prediction of future occurrences. Many scientists an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06c5b949e3620ccdc6703b096c6f1832
https://doi.org/10.1007/s11042-023-15805-z
https://doi.org/10.1007/s11042-023-15805-z