Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nur Anis Jasmin Sufri"'
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 10, Iss 1, Pp 64-78 (2024)
Sign language is the primary communication tool used by the deaf community and people with speaking difficulties, especially during emergencies. Numerous deep learning models have been proposed to solve the sign language recognition problem. Recently
Externí odkaz:
https://doaj.org/article/2cadde39cc834ac6992a14a456facbfb
Publikováno v:
ASEAN Engineering Journal. 12:119-126
Currency recognition has been widely developed using various types of techniques and able to assist people who have a visual impairment. Machine learning is one of the methods implemented where deep learning architecture is one of them. The deep lear
The coronavirus disease 2019 (COVID-19) is a highly infectious disease caused by the SARS-CoV-2 coronavirus. In breaking the transmission chain of SARS-CoV-2, the government has made it compulsory for the people to wear a mask in public places to pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd2c70235245f3f69548b1b7e1423c75
https://zenodo.org/record/7322139
https://zenodo.org/record/7322139
Publikováno v:
2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA).
Autor:
Keerthana Rangasamy, Nur Azmina Rahmad, Muhammad Amir As'ari, Mohamad Fauzi Ibrahim, Nur Anis Jasmin Sufri
Publikováno v:
Enhancing Health and Sports Performance by Design ISBN: 9789811532696
Performance analysis is essential in sports practice where the athlete is evaluated to improve their performance. Due to the rapid growth of science and technology, research on automated recognition of sports actions has become ubiquitous. The implem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a30fa7e817bb2fc8dad7f742cfbf1eda
https://doi.org/10.1007/978-981-15-3270-2_30
https://doi.org/10.1007/978-981-15-3270-2_30
Publikováno v:
Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 7
Deep learning approach has becoming a research interest in action recognition application due to its ability to surpass the performance of conventional machine learning approaches. Convolutional Neural Network (CNN) is among the widely used architect
Autor:
Norazman Shahar, Nurul Fathiah Ghazali, Nur Anis Jasmin Sufri, Nur Azmina Rahmad, Muhammad Amir As'ari
Publikováno v:
2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC).
Visually impaired people faced a problem in identifying and recognizing the different types of banknote due to some reasons. This problem draws researchers’ attention to introduce an automated banknote recognition system that can be divided into a
Autor:
Nurul Fathiah Ghazali, Norazman Shahar, H. F. M Latif, Nur Anis Jasmin Sufri, Nur Azmina Rahmad, Muhammad Amir As'ari
Publikováno v:
2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA).
This paper aims to identify common sport activity recognition by using inertial sensor. Various classifiers from the Classification Learner App in MATLAB is used to recognize the common sport activity. In data collection, 10 subjects are asked to per
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 14:1330
Nowadays, coaches and sport analyst are concerning about sport performance analysis through sport video match. However, they still used conventional method which is through manual observation of the full video that is very troublesome because they mi
Autor:
Nur Anis Jasmin Sufri, Nurul Fathiah Ghazali, Nur Azmina Rahmad, Muhammad Amir As'ari, Norazman Shahar
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 11:987
Sport performance analysis which is crucial in sport practice is used to improve the performance of athletes during the games. Many studies and investigation have been done in detecting different movements of player for notational analysis using eith