Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Akeem Shokanbi"'
Autor:
Ariyo Oluwasanmi, Muhammad Umar Aftab, Akeem Shokanbi, Jehoiada Jackson, Bulbula Kumeda, Zhiquang Qin
Publikováno v:
IEEE Access, Vol 8, Pp 31733-31741 (2020)
Generative Adversarial Network has proven to produce state-of-the-art results by framing a generative modeling task into a supervised learning problem. In this paper, we propose Attentively Conditioned Generative Adversarial Network (ACGAN) for seman
Externí odkaz:
https://doaj.org/article/f95edfafee8a456087dc90291a05443a
Autor:
Zhiguang Qin, Ariyo Oluwasanmi, Akeem Shokanbi, Edward Yellakuor Baagyere, Ebere Eziefuna, Favour Ekong
Publikováno v:
CNIOT
This paper addresses the pertinent object localization problem in deep convolutional neural networks by introducing a spatial fuzzy post-processing function which allows the smooth transition of object edges within individual pixel's neighborhood. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb4ff7a9e07fd86d1da8f5566a1e4173
https://doi.org/10.1145/3398329.3398349
https://doi.org/10.1145/3398329.3398349
Autor:
Oluseyi A. Olagoke, Ravinder Kumar, Olusola Bamisile, Eric C. Okonkwo, Sandra Obiora, Qi Huang, Akeem Shokanbi
Publikováno v:
Sustainable Energy Technologies and Assessments. 42:100872
Over the last 20 years, development in China has followed a positive trend. However, the high energy consumption has impacted the environment negatively. About 239 cities fell short of the national air quality standard in 2017 and the groundwater fel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7339f49ec1ebfa80a5dae50142a2f025
https://doi.org/10.1016/j.seta.2020.100872
https://doi.org/10.1016/j.seta.2020.100872
Publikováno v:
MATEC Web of Conferences, Vol 160, p 02003 (2018)
This paper lays emphasis on thedevelopment of low cost controllers for stepper motors in contrast to its resource limitations such as memory size, few I/O pins and computing power compared to High-end designs. The microchip AVR ATtiny45 microcontroll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e52e87a997bea4f963d20c1d175a0383
https://doi.org/10.1051/matecconf/201816002003
https://doi.org/10.1051/matecconf/201816002003