Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohd Rizon Mohamed Juhari"'
Autor:
Moath Alrifaey, Wei Hong Lim, Chun Kit Ang, Elango Natarajan, Mahmud Iwan Solihin, Mohd Rizon Mohamed Juhari, Sew Sun Tiang
Publikováno v:
IEEE Access, Vol 10, Pp 13852-13869 (2022)
Effective fault detection and classification play essential roles in reducing the hazards such as electric shocks and fire in photovoltaic (PV) systems. However, the issues of interest in fault detection and classification for PV systems remain an op
Externí odkaz:
https://doaj.org/article/86321573a9314dc3b57a4e243a783f7d
Reflection based analysis has been used in previous research for various objectives. Materials classification is one of them. Basically, each material consists of two types of reflections: surface and sub-surface. To separate these two reflections, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5050e27d6eed3a7a4da63669bdaae1b4
https://zenodo.org/record/7106823
https://zenodo.org/record/7106823
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030518585
This paper proposed an algorithm that used the combination of the Viola-Jones technique, Circular Hough Transform (CHT), Histogram Equalization, Canny Edge detection and percentage of eyelid closure (PERCLOS) technique to accurately detect the eyes c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd711f4b354cb59f7f9c1b316022c141
https://doi.org/10.1007/978-3-030-51859-2_58
https://doi.org/10.1007/978-3-030-51859-2_58
Autor:
Mohd Rizon Mohamed Juhari, Mohd Rozailan Mamat, R. Nagarajan, Masanori Sugisaka, Sazali Yaacob, M. Karthigayan, Hazry Desa
Publikováno v:
Artificial Life and Robotics. 11:197-203
In this article, two subjects, one South East Asian (SEA) and the other Japanese, are considered for face emotion recognition using a genetic algorithm (GA). The parameters relating the face emotions in each case are entirely different. All six unive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bcbbfbda228ccaf0d566640ac26e569
https://doi.org/10.1007/s10015-007-0428-x
https://doi.org/10.1007/s10015-007-0428-x