Zobrazeno 1 - 10
of 21
pro vyhledávání: '"AGYEMANG, PAUL A."'
Autor:
Banahene, Joel Cox Menka, Ofosu, Isaac Williams, Odai, Bernard Tawiah, Lutterodt, Herman Erick, Agyemang, Paul Ayiku, Ellis, Williams Otoo
Publikováno v:
In Heliyon 30 October 2024 10(20)
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8691 (2024)
Insulator and defect detection is a critical technology for the automated inspection of transmission and distribution lines within smart grids. However, the development of a lightweight, real-time detection platform suitable for deployment on drones
Externí odkaz:
https://doaj.org/article/346c9c0eb3d9488bb794502804791861
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12520 (2023)
Software-Defined Networking (SDN) enhances network control but faces Distributed Denial of Service (DDoS) attacks due to centralized control and flow-table constraints in network devices. To overcome this limitation, we introduce a multi-path routing
Externí odkaz:
https://doaj.org/article/36c12b6f2fad4bcb9ddc064dda3bad37
Publikováno v:
IEEE Access, Vol 10, Pp 2880-2894 (2022)
Machine learning algorithms are susceptible to cyberattacks, posing security problems in computer vision, speech recognition, and recommendation systems. So far, researchers have made great strides in adopting adversarial training as a defensive stra
Externí odkaz:
https://doaj.org/article/96e921df7aeb45648e51b525151d3296
Publikováno v:
International Journal of Machine Learning and Cybernetics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c1bbd26253eea1c6d402dccfdd6bf43
https://doi.org/10.1007/s13042-023-01868-9
https://doi.org/10.1007/s13042-023-01868-9
Publikováno v:
International Journal of Multimedia Information Retrieval. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f600ce8e7334eed65927297ecf5dad3
https://doi.org/10.1007/s13735-023-00273-w
https://doi.org/10.1007/s13735-023-00273-w
Publikováno v:
Multimedia Tools and Applications. 81:14573-14588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7572a0d5b1b59e294c2084c85c29c0df
https://doi.org/10.1007/s11042-022-12259-7
https://doi.org/10.1007/s11042-022-12259-7
Publikováno v:
Neural Processing Letters. 54:637-655
Machine learning classifiers are vulnerable to adversarial perturbation, and their presence raises security concerns, especially in recommendation systems. While attacks and defense mechanisms in recommendation systems have received significant atten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b697035343b1980258afe70db08f0b0c
https://doi.org/10.1007/s11063-021-10647-y
https://doi.org/10.1007/s11063-021-10647-y
Publikováno v:
Applied Intelligence. 52:3499-3510
Machine learning classifiers are susceptible to adversarial perturbations, and their existence raises security concerns with a focus on recommendation systems. While there is a substantial effort to investigate attacks and defensive techniques in rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe17b6c30cc491b43b54d24d8011ed29
https://doi.org/10.1007/s10489-021-02355-w
https://doi.org/10.1007/s10489-021-02355-w
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