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. (2020). The classification of skateboarding tricks by means of support vector machine: An evaluation of significant time-domain features. In M. Mohd Razman, J. Mat Jizat, N. Mat Yahya, H. Myung, A. Zainal Abidin & M. Abdul Karim (Hrsg.), Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678 (, S. 125-132). Singapore: Springer.
APA-Zitierstil (7. Ausg.)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. (2020). The classification of skateboarding tricks by means of support vector machine: An evaluation of significant time-domain features. Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678, 125-132.
Chicago-Zitierstil (17. Ausg.)Abdullah, M. A., M. A. R. Ibrahim, M. N. A. Shapiee, A. P. A. Majeed, M. A. M. Razman, R. M. Musa, und M. A. Zakaria. "The Classification of Skateboarding Tricks by Means of Support Vector Machine: An Evaluation of Significant Time-domain Features." Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678 2020: 125-132.
MLA-Zitierstil (9. Ausg.)Abdullah, M. A., et al. "The Classification of Skateboarding Tricks by Means of Support Vector Machine: An Evaluation of Significant Time-domain Features." Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678, 2020, pp. 125-132.