Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Asrul Adam"'
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Electroencephalogram (EEG) signal peak detection is widely used in clinical applications. The peak point can be detected using several approaches, including time, frequency, time-frequency, and nonlinear domains depending on various peak features fro
Externí odkaz:
https://doaj.org/article/fd836f9c0d81488e9fa89a02d430e6a8
Publikováno v:
International Journal of Computing and Digital Systems. 12:237-244
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2642ed49a8c2274db40cf613a69d3fa
https://doi.org/10.12785/ijcds/120121
https://doi.org/10.12785/ijcds/120121
Publikováno v:
MEKATRONIKA. 4:56-69
Photoplethysmogram (PPG) signals contain valuable health information that is in the relation between the volumetric variations of blood circulation and the cardiovascular and respiratory systems. This study introduces the performance evaluation on op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7537e95193bf46f3afe1a8287935c40b
https://doi.org/10.15282/mekatronika.v4i1.7758
https://doi.org/10.15282/mekatronika.v4i1.7758
Autor:
Heshalini Rajagopal, Norrima Mokhtar, Zuwairie Ibrahim, Asrul Adam, Wan Amirul Bin Wan Mohd Mahiyidin, Wan Khairunizam, Anis Salwa Mohd Khairuddin
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 26:736-741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bdf9bb5a4ce4e65b0661578566b91dd
https://doi.org/10.5954/icarob.2021.os1-1
https://doi.org/10.5954/icarob.2021.os1-1
Publikováno v:
International Journal of Computing and Digital Systems. :1213-1219
Safety is critical for autonomous vehicle, therefore quality management system method is crucial for the risks that may impact human beings. Quality management system help identify customer requirements and finally meet them. Customer requirements al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f76bff30bdb6a40af9fdf82931b4b7c0
https://doi.org/10.12785/ijcds/0906018
https://doi.org/10.12785/ijcds/0906018
Autor:
Hamdan Daniyal, Badaruddin Muhammad, Kamil Zakwan Mohd Azmi, Zulkifli Md. Yusof, Asrul Adam, Nor Azlina Ab. Aziz, Ahmad Afif Mohd Faudzi, Suad Khairi Mohammed
Publikováno v:
MEKATRONIKA. 1:8-14
Previously, the black hole (BH) algorithm has been subjected to various fundamental enhancements. Among others, white hole operator and local search have been embedded in the BH algorithm to improve its performance significantly. This paper shows tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86e3623f0609072ea48a2ec0f9b8ea70
https://doi.org/10.15282/mekatronika.v1i2.4891
https://doi.org/10.15282/mekatronika.v1i2.4891
Publikováno v:
Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology.
The detection of peaks in photoplethysmogram (PPG) signals is vital to ensure the information gathered from the peaks in an accurate manner. The false peaks will interrupt the accuracy for future classification of any related events. This study prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a085b2dc7e5b5ebb762f32c53390793
https://doi.org/10.1145/3397391.3397394
https://doi.org/10.1145/3397391.3397394
Publikováno v:
SSCI
Photoplethysmography (PPG) signals can be defined as a type of signal which obtained through a noninvasive optical method that contains information of the cardiovascular system such as arterial blood pressure, tissue perfusion, heart rate and respira
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67d2d9dd0f39284073aebc883ea2ffa2
https://doi.org/10.1109/ssci44817.2019.9002876
https://doi.org/10.1109/ssci44817.2019.9002876
Autor:
Marizan Mubin, Zuwairie Ibrahim, Asrul Adam, Norrima Mokhtar, Paul Cumming, Mohd Ibrahim Shapiai
Publikováno v:
Sādhanā. 42:641-653
The optimization of peak detection algorithms for electroencephalogram (EEG) signal analysis is an ongoing project; previously existing algorithms have been used with different models to detect EEG peaks in various applications. However, none of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29ca222853d12fe74542e7d80882294d
https://doi.org/10.1007/s12046-017-0633-9
https://doi.org/10.1007/s12046-017-0633-9
The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aba5169bfd04a63702bf7088aa75a36
https://zenodo.org/record/4243877
https://zenodo.org/record/4243877
