Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Muhammad Firdaus Hashim"'
Publikováno v:
Advanced Materials Research. 1125:126-130
The properties and performances of Zinc Oxide (ZnO) film have made the material spread widely in several applications such as in providing energy to consumers in which it is harvest energy from the sun rays. By using hydrothermal method in order to f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8770b66d78cc809bbe7c17b6edd4f33e
https://doi.org/10.4028/www.scientific.net/amr.1125.126
https://doi.org/10.4028/www.scientific.net/amr.1125.126
Publikováno v:
2016 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE).
Massive MIMO is used in a new generation wireless technology and a method to improve the spectral efficiency (SE) of communications systems. Nowadays, because of the users and applications that are always increasing day by day the improvement of wire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92e068fa4087db8bcf0667a34b0de5e6
https://doi.org/10.1109/apace.2016.7916470
https://doi.org/10.1109/apace.2016.7916470
Autor:
Muhammad Firdaus Hashim, Abdul Rahman Mohd Saad, Hazri Desa, Mohamed Rizon, Jalan Kangar-Arau, Teluk Kalong, Sazali Yaacob, M. Karthigayan, Puteh Saad, Ali Yeon
Publikováno v:
American Journal of Applied Sciences. 3:1872-1875
In this study, we develop a computational model to identify the face of an unknown person's by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is then projecting onto human faces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7edd0df1ce4a665a34d1981e639088a
https://doi.org/10.3844/ajassp.2006.1872.1875
https://doi.org/10.3844/ajassp.2006.1872.1875
Publikováno v:
3rd Kuala Lumpur International Conference on Biomedical Engineering 2006 ISBN: 9783540680161
In this paper, a computational model has been developed to identify a face of an unknown person’s by utilizing eigenfaces as unique features and backpropagation Neural Network for recognition. The features of a basic human face are extracted using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b0c46999ca2af5ff71975727f47fd14
https://doi.org/10.1007/978-3-540-68017-8_20
https://doi.org/10.1007/978-3-540-68017-8_20
