Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Victor Elijah Adeyemo"'
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0301608 (2024)
The application of pattern mining algorithms to extract movement patterns from sports big data can improve training specificity by facilitating a more granular evaluation of movement. Since movement patterns can only occur as consecutive, non-consecu
Externí odkaz:
https://doaj.org/article/1ac436624c50408da9aabe67838924b1
Autor:
Yazan Ahmad Alsariera, Victor Elijah Adeyemo, Abdullateef Oluwagbemiga Balogun, Ammar Kareem Alazzawi
Publikováno v:
IEEE Access, Vol 8, Pp 142532-142542 (2020)
Phishing is a type of social web-engineering attack in cyberspace where criminals steal valuable data or information from insensitive or uninformed users of the internet. Existing countermeasures in the form of anti-phishing software and computationa
Externí odkaz:
https://doaj.org/article/6ecd377ab13b42b082f6c1447091d7ae
Autor:
Modinat Abolore Mabayoje, Abdullateef Olwagbemiga Balogun, Hajarah Afor Jibril, Jelili Olaniyi Atoyebi, Hammed Adeleye Mojeed, Victor Elijah Adeyemo
Publikováno v:
Jurnal Teknologi dan Sistem Komputer, Vol 7, Iss 4, Pp 121-126 (2019)
Software Defect Prediction (SDP) provides insights that can help software teams to allocate their limited resources in developing software systems. It predicts likely defective modules and helps avoid pitfalls that are associated with such modules. H
Externí odkaz:
https://doaj.org/article/ae4131ea5819485a9b61f709fdf8fe88
Autor:
Abdullateef Oluwagbemiga Balogun, Shuib Basri, Luiz Fernando Capretz, Saipunidzam Mahamad, Abdullahi Abubakar Imam, Malek A. Almomani, Victor Elijah Adeyemo, Ammar K. Alazzawi, Amos Orenyi Bajeh, Ganesh Kumar
Publikováno v:
Symmetry, Vol 13, Iss 11, p 2166 (2021)
Finding defects early in a software system is a crucial task, as it creates adequate time for fixing such defects using available resources. Strategies such as symmetric testing have proven useful; however, its inability in differentiating incorrect
Externí odkaz:
https://doaj.org/article/ff406c16769e473cba37a8ef07580c9b
Publikováno v:
Sciencemedicine in football.
Determining key performance indicators and classifying players accurately between competitive levels is one of the classification challenges in sports analytics. A recent study applied Random Forest algorithm to identify important variables to classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::909606596c4764fae9faf65274e53a81
https://pubmed.ncbi.nlm.nih.gov/36373953
https://pubmed.ncbi.nlm.nih.gov/36373953
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecf40411d39b0349905fb7c33cb5091e
https://doi.org/10.1109/icmla52953.2021.00077
https://doi.org/10.1109/icmla52953.2021.00077
Autor:
M. A. Mabayoje, Abdullateef Olwagbemiga Balogun, Hajarah Afor Jibril, Jelili Olaniyi Atoyebi, Victor Elijah Adeyemo, Hammed A. Mojeed
Publikováno v:
Jurnal Teknologi dan Sistem Komputer, Vol 7, Iss 4, Pp 121-126 (2019)
Software Defect Prediction (SDP) provides insights that can help software teams to allocate their limited resources in developing software systems. It predicts likely defective modules and helps avoid pitfalls that are associated with such modules. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f85c40d603ba0c7cc061d816418942
https://doi.org/10.14710/jtsiskom.7.4.2019.121-126
https://doi.org/10.14710/jtsiskom.7.4.2019.121-126
Autor:
Kayode S. Adewole, Rasheed Gbenga Jimoh, Abdullateef Oluwagbemiga Balogun, Fatimah E. Usman-Hamza, Victor Elijah Adeyemo, Hammed A. Mojeed, Fatimah B. Lafenwa-Balogun, Amos Orenyi Bajeh
Publikováno v:
International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020) ISBN: 9783030802158
High dimensionality and class imbalance are latent data quality problems that have a negative effect on the predictive capabilities of prediction models in software defect prediction (SDP). As a viable solution, data sampling and feature selection (F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d17a07df7eb9fa7c9f6156d49909c11
https://doi.org/10.1007/978-3-030-80216-5_4
https://doi.org/10.1007/978-3-030-80216-5_4
Autor:
Malek Ahmad Almomani, Luiz Fernando Capretz, Shuib Basri, Saipunidzam Mahamad, Ganesh Kumar, Abdullahi Abubakar Imam, Abdullateef Oluwagbemiga Balogun, Victor Elijah Adeyemo
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
The high dimensionality of software metric features has long been noted as a data quality problem that affects the performance of software defect prediction (SDP) models. This drawback makes it necessary to apply feature selection (FS) algorithm(s) i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::481dade74fad9964955002161311a2c7
https://doaj.org/article/5bf63920b8bf47618501bb4518be0c3d
https://doaj.org/article/5bf63920b8bf47618501bb4518be0c3d
Autor:
Hammed A. Mojeed, Kayode S. Adewole, Noah Oluwatobi Akande, Abdullateef Oluwagbemiga Balogun, Victor Elijah Adeyemo
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813368347
ACeS
ACeS
The adverse effects of website phishing attacks are often damaging and dangerous as the information gathered from unsuspecting users are used inappropriately and recklessly. Several solutions have been proposed to curb website phishing attacks and to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f258c727c2c04210a000a50512e0a90b
https://doi.org/10.1007/978-981-33-6835-4_41
https://doi.org/10.1007/978-981-33-6835-4_41