Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Syafeeza Ahmad Radzi"'
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 7, Iss 4, Pp 363-372 (2021)
Human activities can be recognised through reflections of wireless signals which solve the problem of privacy concerns and restriction of the application environment in vision-based recognition. Spiking Neural Networks (SNNs) for human activity recog
Externí odkaz:
https://doaj.org/article/4a60100d6d6c44e2828ae181088ace2f
Autor:
Nur Shazwani Aminuddin, Masrullizam Mat Ibrahim, Nursabillilah Mohd Ali, Syafeeza Ahmad Radzi, Wira Hidayat Mohd Saad, Abdul Majid Darsono
Publikováno v:
Journal of ICT, Vol 16, Iss 2 (2017)
This paper presents the development of a road lane detection algorithm using image processing techniques. This algorithm is developed based on dynamic videos, which are recorded using on-board cameras installed in vehicles for Malaysian highway condi
Externí odkaz:
https://doaj.org/article/d8563f39603249e886ab43b51c33e428
Autor:
Khairul Muzzammil Saipullah, Wira Hidayat Mohd Saad, Sook Hui Chong, Muhammad Idzdihar Idris, Syafeeza Ahmad Radzi
Publikováno v:
Journal of Robotics and Control (JRC). 3:320-327
The Delta robot is one of the robot types that is used in agriculture and industrial application. However, before the complex physical development of the robot, a simulation needs to be developed to ensure the perfect functionality of the design. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c463bcd5a9a6670403cd6129a58c364
https://doi.org/10.18196/jrc.v3i3.14436
https://doi.org/10.18196/jrc.v3i3.14436
Publikováno v:
AEU - International Journal of Electronics and Communications. 82:74-82
Tunability in RF front-end improves the link quality by maintaining low VSWR in operating environment through correcting the impedance to counteract the sudden impedance change in a user fluctuating operating environment. Introducing tunability to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d151619d344dddf60c29704a6f32ac8d
https://doi.org/10.1016/j.aeue.2017.08.004
https://doi.org/10.1016/j.aeue.2017.08.004
Publikováno v:
AEU - International Journal of Electronics and Communications. 70:1449-1456
Adaptability for radio frequency (RF) front-ends are highly desirable because they not only enhance functionality and performance but also reduce the circuit size and cost. To operate in a multi-band operating environment, a novel adaptive boundary t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47f854781063cddfed98d07c1b68d1c1
https://doi.org/10.1016/j.aeue.2016.08.007
https://doi.org/10.1016/j.aeue.2016.08.007
Publikováno v:
Journal of Bioinformatics and Proteomics Review. 2:1-5
The research on face recognition still continues after several decades since the study of this biometric trait exists. This paper discusses a method on developing a MATLAB-based Convolution Neural Network (CNN) face recognition system with Graphical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4df823f8b964b22ecb6b978b9c17b8c
https://doi.org/10.15436/2381-0793.16.009
https://doi.org/10.15436/2381-0793.16.009
Publikováno v:
Volume: 24, Issue: 3 1248-1264
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
An approach using a convolutional neural network (CNN) is proposed for real-time gender classification based on facial images. The proposed CNN architecture exhibits a much reduced design complexity when compared with other CNN solutions applied in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41c46b128cd8ff639441795e33f10d27
https://doi.org/10.3906/elk-1311-58
https://doi.org/10.3906/elk-1311-58
Autor:
M S J A Razak, Wira Hidayat Mohd Saad, Z M Yussof, Syafeeza Ahmad Radzi, Saiful Anuar Abd. Karim
Publikováno v:
Journal of Physics: Conference Series. 1502:012055
This study presents an application of using Deep Neural Network (DNN) based detector to detect chili and its flower in the chili plant image. Detecting chili on its plant is important for the development of a robotic vision to automatically picking t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d724e45e7a6abf891ce5383ef48f1693
https://doi.org/10.1088/1742-6596/1502/1/012055
https://doi.org/10.1088/1742-6596/1502/1/012055
Autor:
M.K. Mohd Fitri Alif, Syafeeza Ahmad Radzi, Y. Nursyifaa Athirah, M. S. Saleha, A. H. Norihan, Azmi Jaafar
Publikováno v:
International Journal of Power Electronics and Drive Systems (IJPEDS). 11:417
The home security system has become vital for every house. Previously, most doors can be open by using traditional ways, such as keys, security cards, password or pattern. However, incidents such as a key loss has led to much worrying cases such as r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e4e44220e5fc14ddb9ba6ef955d3e90
https://doi.org/10.11591/ijpeds.v11.i1.pp417-424
https://doi.org/10.11591/ijpeds.v11.i1.pp417-424
Publikováno v:
Journal of Physics: Conference Series. 1502:012043
Palm vein authentication technology which reads the features of palm vein has been widely used in recent years as it offers high accuracy identification and difficult to be forged or impersonated. This paper demonstrates a palm vein recognition syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e44b610b7ef4883a7c477a806dbd778
https://doi.org/10.1088/1742-6596/1502/1/012043
https://doi.org/10.1088/1742-6596/1502/1/012043