Zobrazeno 1 - 10
of 228
pro vyhledávání: '"WAN, Khairunizam"'
Publikováno v:
Jurnal Sistem Cerdas. 5:208-217
2019 World Health Organization informed that the two-thirds of stroke patients have a permanent dissability. Disability disorders can affect performance or daily activities such as eating, drinking, wearing clothes, bathing, and others. Disability ca
No-reference quality assessment for image-based assessment of economically important tropical woods.
Autor:
Heshalini Rajagopal, Norrima Mokhtar, Tengku Faiz Tengku Mohmed Noor Izam, Wan Khairunizam Wan Ahmad
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0233320 (2020)
Image Quality Assessment (IQA) is essential for the accuracy of systems for automatic recognition of tree species for wood samples. In this study, a No-Reference IQA (NR-IQA), wood NR-IQA (WNR-IQA) metric was proposed to assess the quality of wood im
Externí odkaz:
https://doaj.org/article/8ed6afe4e9c1427ba64f815d6cac13d2
Autor:
Bong, Siao Zheng, Wan, Khairunizam, Murugappan, M., Ibrahim, Norlinah Mohamed, Rajamanickam, Yuvaraj, Mohamad, Khairiyah
Publikováno v:
In Biomedical Signal Processing and Control July 2017 36:102-112
Publikováno v:
2023 15th International Conference on Computer and Automation Engineering (ICCAE).
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 27:996-1002
Autor:
Wan Khairunizam, Kai Xu tung, M. Lugieswaran, Wan Azani Mustafa, Hashimah Ali, Zuradzman M. Razlan, Shahriman AB, Norrima Mokhtar
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 27:976-980
Imaginary Finger Control Detection Algorithm Using Deep Learning with Brain Computer Interface (BCI)
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 27:968-975
Autor:
Choong Wen Yean, Wan Khairunizam Wan Ahmad, Wan Azani Mustafa, Murugappan Murugappan, Yuvaraj Rajamanickam, Abdul Hamid Adom, Mohammad Iqbal Omar, Bong Siao Zheng, Ahmad Kadri Junoh, Zuradzman Mohamad Razlan, Shahriman Abu Bakar
Publikováno v:
Brain Sciences, Vol 10, Iss 10, p 672 (2020)
Emotion assessment in stroke patients gives meaningful information to physiotherapists to identify the appropriate method for treatment. This study was aimed to classify the emotions of stroke patients by applying bispectrum features in electroenceph
Externí odkaz:
https://doaj.org/article/7741587c3e464e278072d0a767e6c5b0
Autor:
Hafiz Halin, Wan Khairunizam, Wan Azani Mustafa, Muhajir Ab. Rahim, Z. M. Razlan, S. A. Bakar
Publikováno v:
2022 IEEE 13th Control and System Graduate Research Colloquium (ICSGRC).
Publikováno v:
Arabian Journal for Science and Engineering. 46:9573-9588
Stroke is a cerebrovascular disorder, and one of the most common effects of stroke is emotional disturbances. This present work classifies six emotions (anger, sadness, happiness, fear, disgust, and surprise) of two types of stroke (left brain damage