Zobrazeno 1 - 10 of 43 pro vyhledávání: '"Lizawati Salahuddin"'
1
Akademický článek
Identification of wood defect using pattern recognition technique
Autor: Teo Hong Chun, Ummi Raba'ah Hashim, Sabrina Ahmad, Lizawati Salahuddin, Ngo Hea Choon, Kasturi Kanchymalay, Nur Haslinda Ismail
Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 7, Iss 2, Pp 163-176 (2021)
This study proposed a classification model for timber defect classification based on an artificial neural network (ANN). Besides that, the research also focuses on determining the appropriate parameters for the neural network model in optimizing the
Externí odkaz: https://doaj.org/article/ee9cd14e5cc540088305d9d9673e14d4
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2
Akademický článek
Evaluation of texture feature based on basic local binary pattern for wood defect classification
Autor: Eihab Abdelkariem Bashir Ibrahim, Ummi Raba'ah Hashim, Lizawati Salahuddin, Nor Haslinda Ismail, Ngo Hea Choon, Kasturi Kanchymalay, Siti Normi Zabri
Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 7, Iss 1, Pp 26-36 (2021)
Wood defects detection has been studied a lot recently to detect the defects on the wood surface and assist the manufacturers in having a clear wood to be used to produce a high-quality product. Therefore, the defects on the wood affect and reduce th
Externí odkaz: https://doaj.org/article/d32db0192a714739865f032f714ee800
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3
Akademický článek
Classification of wood defect images using local binary pattern variants
Autor: Rahillda Nadhirah Norizzaty Rahiddin, Ummi Rabaah Hashim, Nor Haslinda Ismail, Lizawati Salahuddin, Ngo Hea Choon, Siti Normi Zabri
Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 6, Iss 1, Pp 36-45 (2020)
This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images. The basic and variants of the LBP feature set that was constructed from a stage of featu
Externí odkaz: https://doaj.org/article/f4d2851b61ae45dea787c060bd854a8c
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4
Akademický článek
ENABLING EHEALTH IN TRADITIONAL MEDICINE: A SYSTEMATIC REVIEW OF INFORMATION SYSTEMS INTEGRATION REQUIREMENTS
Autor: RAJA RINA RAJA IKRAM, MOHD KHANAPI ABD GHANI, NOOR RAIHAN AB HAMID, LIZAWATI SALAHUDDIN
Publikováno v: Journal of Engineering Science and Technology, Vol 13, Iss 12, Pp 4193-4205 (2018)
This paper shall investigate the information systems integration needs towards eHealth implementation in Traditional Medicine. This review seeks to answer questions related to the locations of the integration points for integrated systems for the acc
Externí odkaz: https://doaj.org/article/3ca701da6e8b46529585531fe766bed6
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5
Abnormal heart rate detection through real-time heart monitoring application
Autor: Ummi Namirah Hashim, Lizawati Salahuddin, Ummi Rabaah Hashim, Mohd Hariz Naim, Raja Rina Raja Ikram, Fiza Abdul Rahim
Health monitoring that requires doctors and patients at the healthcare center may not be practical during the coronavirus disease 2019 (COVID-19) pandemic. Alternatively, mobile health (mHealth) should be embraced to minimize contact between patients
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0143549be641b06ec3597c74d9d03b9d
https://zenodo.org/record/8141041
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6
A review of the automated timber defect identification approach
Autor: Teo Hong Chun, Ummi Raba’ah Hashim, Sabrina Ahmad, Lizawati Salahuddin, Ngo Hea Choon, Kasturi Kanchymalay
Timber quality control is undoubtedly a very laborious process in the secondary wood industry. Manual inspections by operators are prone to human error, thereby resulting in poor timber quality inspections and low production volumes. The automation o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c385e871f23751324f8ff78da574675b
https://zenodo.org/record/7694815
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8
Classification of wood defect images using local binary pattern variants
Autor: Ummi Rabaah Hashim, Lizawati Salahuddin, Rahillda Nadhirah Norizzaty Rahiddin, Ngo Hea Choon, Nor Haslinda Ismail, Siti Normi Zabri
Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 6, Iss 1, Pp 36-45 (2020)
This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images. The basic and variants of the LBP feature set that was constructed from a stage of featu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a945f8822eb764cb1f11dd99bfc114a2
http://ijain.org/index.php/IJAIN/article/view/392
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