Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ifeoluwapo Aribilola"'
Publikováno v:
IEEE Access, Vol 12, Pp 140792-140808 (2024)
In a world of seamless connections, where everyone is connected via smart devices (Internet of Things (IoT)). These smart devices constantly exchange personal multimedia data, which requires maximum protection from unauthorised access. Encryption via
Externí odkaz:
https://doaj.org/article/e865929000b4491bb53e60cef745163e
Autor:
Romoke Grace Akindele, Ming Yu, Paul Shekonya Kanda, Eunice Oluwabunmi Owoola, Ifeoluwapo Aribilola
Publikováno v:
Sensors, Vol 23, Iss 18, p 7780 (2023)
The recovery of semantics from corrupted images is a significant challenge in image processing. Noise can obscure features, interfere with accurate analysis, and bias results. To address this issue, the Regularized Neighborhood Pixel Similarity Wavel
Externí odkaz:
https://doaj.org/article/9ed3b69ead7543c9b6b5d7a0f019a866
Autor:
Jeffrey Buckley, Jeovan A. Araujo, Ifeoluwapo Aribilola, Iram Arshad, Muhammad Azeem, Ciara Buckley, Alison Fagan, Daniel P. Fitzpatrick, Diana A. Garza Herrera, Tomás Hyland, Muhammad Babar Imtiaz, Muhammad Bilal Khan, Eduardo Lanzagorta Garcia, Bhagyabati Moharana, Mohd Sufino Zuhaily Mohd Sufian, Katja Magdalena Osterwald, Joseph Phelan, Anastasia Platonava, Clodagh Reid, Michèle Renard, Laura G. Rodriguez Barroso, Jeremiah Scully, Gilberto Silva Nunes Bezerra, Tomasz Szank, Mehwish Tahir, Mairéad Teehan, Sowmya Vijayakumar, Ismin Zainol
Publikováno v:
International Journal of Technology and Design Education.
The experiments were executed on the dataset of five (05) publicly available dynamic camera videos, each with differing characteristics. The step by step of the algorithm is clearly analysed in the paper.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ab4f3b47215d132d9f0bda00d29152f
https://doi.org/10.36227/techrxiv.21354003
https://doi.org/10.36227/techrxiv.21354003
Publikováno v:
2022 33rd Irish Signals and Systems Conference (ISSC).
Autor:
Adrielle Nazar Moraes, Lin Zhang, Shaun Grassick, Eyman Manaf, Clodagh Reid, Daniel P. Fitzpatrick, Paul Lennon, Diana Garza Herrera, Xinyu Yan, Guilherme Daniel Gomes, Sowmya Vijayakumar, Muhammad Babar Imtiaz, Maulshree Singh, Alison Fagan, Tomaz Szamk, Mehwish Tahir, Jing Meng, Laura G. Rodriguez-Barroso, Anastasia Platonava, Muhammad Azeem, Muhammad Bilal Khan, Biana Simonassi-Paiva, Jeffrey Buckley, Ismael Chimello, Latif Adams, Mohd Sufino Zuhaily Sufian, Michèle Renard, Ciara Buckley, Elaine Halligan, Eduardo Lanzagorta Garcia, Ismin Zainol, Ifeoluwapo Aribilola, Tómas Hyland, Amit Hirway, Lauryn Bracken, Katja Magdalena Osterwald, Cormac Ward, Colette Breheny, Iram Arshad
A high level of transparency in reported research is critical for several reasons, such as ensuring an acceptable level of trustworthiness and enabling replication. Transparency in qualitative research permits the identifcation of specifc circumstanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81874e12ec52185854e8e8457b35be48
https://doi.org/10.35542/osf.io/p9ubt
https://doi.org/10.35542/osf.io/p9ubt