Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ahmad Puad Ismail"'
Autor:
Siti Azura Ramlan, Iza Sazanita Isa, Ahmad Puad Ismail, Muhammad Khusairi Osman, Zainal Hisham Che Soh
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110534- (2024)
This report presents a dataset of offline handwriting samples among Malaysian schoolchildren with potential dysgraphia. The images contained Malay sentences written by primary school students and children under intervention by the Malaysia Dyslexia A
Externí odkaz:
https://doaj.org/article/19c0da8fb56e4c28b8ae7e870715848f
Autor:
Siti Azura Ramlan, Iza Sazanita Isa, Muhammad Khusairi Osman, Ahmad Puad Ismail, Zainal Hisham Che Soh
Publikováno v:
Journal of Electrical & Electronic Systems Research. 21:73-83
Autor:
Mat Nizam Mahmud, Muhammad Khusairi Osman, Anas Ibrahim, Ahmad Puad Ismail, Fadzil Ahmad, Azmir Hasnur Rabiani
Publikováno v:
Journal of Electrical & Electronic Systems Research. 21:8-14
Autor:
Siti Azura Ramlan, Iza Sazanita Isa, Muhammad Khusairi Osman, Ahmad Puad Ismail, Zainal Hisham Che Soh
Publikováno v:
2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).
Autor:
Muhammad Afiq Zulkri, Kamarulazhar Daud, Wan Salha Saidon, Saodah Omar, Ahmad Puad Ismail, Saiful Firdaus Abdul Shukor
Publikováno v:
2022 IEEE International Conference on Power and Energy (PECon).
Autor:
Muhammad Adib Faidhi Daud, Ahmad Puad Ismail, Nooritawati Md Tahir, Kamarulazhar Daud, Nazirah Mohamat Kasim, Fadzil Ahmad Mohamad
Publikováno v:
2022 IEEE 12th International Conference on Control System, Computing and Engineering (ICCSCE).
Autor:
Nur Athiqah Harron, Nadzmi Faridzuan Osman, Siti Noraini Sulaiman, Noor Khairiah A. Karim, Ahmad Puad Ismail, Zainal Hisham Che Soh
Publikováno v:
2022 IEEE 13th Control and System Graduate Research Colloquium (ICSGRC).
Autor:
Anthony Roston Anak Tarip, Kamarulazhar Daud, Ahmad Puad Ismail, Aimi Idzwan Tajudin, Saodah Omar, Mohd Najib Mohd Hussain
Publikováno v:
2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE).
Autor:
Anas Ibrahim, Ahmad Puad Ismail, Muhammad Khusairi Osman, Mat Nizam Mahmud, Fadzil Ahmad, K. A. Ahmad
Publikováno v:
ICCSCE
Road image segmentation is critical in a variety of applications, including road maintenance, intelligent transportation systems, and urban planning. Numerous image segmentation techniques, including popular neural network approaches, have been propo
Autor:
Maimon Abdullah, Mbm Mansor, Kamarulazhar Daud, Ahmad Puad Ismail, AA Abd Samat, ZH Che Soh, Mohd Affandi Shafie
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1088:012060
This paper discusses the performance of evaluating a windowing based continuous S-Transform (ST) with deep learning classifier for the detection and classifying of interrupt and transient disturbances. The primary purpose is to analyze the detection