Search Results - "Singapur"
-
1
The classification of skateboarding tricks by means of support vector machine: An evaluation of significant time-domain features
Abdullah, M. A., Ibrahim, M. A. R., Shapiee, M. N. A., Majeed, A. P. A., Razman, M. A. M., Musa, R. M., Zakaria, M. A.Published in Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678 (2020)“…Singapur…”
-
2
The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning
Abdullah, M. A., Ibrahim, M. A. R., Shapiee, M. N. A., Razman, M. A. M., Musa, R. M., Majeed, A. P. A.Published in Intelligent Manufauring and Mechatronics: Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics - SympoSIMM 2019, 8 July 2019, Melaka, Malaysia (2019)“…Singapur…”
-
3
The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
Ibrahim, M. A. R., Abdullah, M. A., Shapiee, M. N. A., Razman, M. A. M., Musa, R. M., Zakaria, M. A., Osman, N. A. A., Majeed, A. P. A.Published in Enhancing Health and Sports Performance by Design. MoHE 2019 (2019)“…Singapur…”
-
4
-
5
The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning
Nur Aiman Shapiee, M., Ar Rahim Ibrahim, M., Azraai Mohd Razman, M., Amirul Abdullah, M., Muazu Musa, R., Hasnun Arif Hassan, M., Abdul Majeed, A. P. P.Published 2020“…Singapur…”