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Arzielah Ashiqin, Alwi and Ahmad Najmuddin, Ibrahim and Muhammad Nur Aiman, Shapiee and Muhammad Ar Rahim, Ibrahim and Mohd Azraai, Mohd Razman and Ismail, Mohd Khairuddin (2020) Ball classification through object detection using deep learning for handball. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (2). pp. 49-54. ISSN 2637-0883. (Published)

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Muhammad Amirul, Abdullah and Muhammad Ar Rahim, Ibrahim and Muhammad Nur Aiman, Shapiee and Mohd Azraai, Mohd Razman and Rabiu Muazu, Musa and Noor Azuan, Abu Osman and Muhammad Aizzat, Zakaria and Anwar, P. P. Abdul Majeed (2023) An evaluation of different input transformation for the classification of skateboarding tricks by means of transfer learning. In: Lecture Notes in Bioengineering; International Conference on Innovation and Technology in Sports, ICITS 2022 , 14 - 15 November 2022 , Kuala Lumpur. 269 -275.. ISSN 2195-271X ISBN 978-981990296-5 (Published)

Muhammad Ar Rahim, Ibrahim (2022) The classification of skateboard trick manoeuvres through the integration of inertial measurement unit (imu) and machine learning. Masters thesis, Universiti Malaysia Pahang (Contributors, Thesis advisor: Anwar P.P., Abdul Majeed).

Muhammad Nur Aiman, Shapiee and Muhammad Ar Rahim, Ibrahim and Mohd Azraai, Mohd Razman and Muhammad Amirul, Abdullah and Musa, Rabiu Muazu and Noor Azuan, Abu Osman and P.P. Abdul Majeed, Anwar (2022) The classification of skateboarding tricks by means of the integration of transfer learning models and K-Nearest neighbors. In: Lecture Notes in Electrical Engineering. Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020 , 6 August 2020 , Gambang. pp. 439-450., 730. ISSN 1876-1100 ISBN 978-981334596-6 (Published)

Muhammad Amirul, Abdullah and Muhammad Ar Rahim, Ibrahim and Muhammad Nur Aiman, Shapiee and Muhammad Aizzat, Zakaria and Mohd Azraai, Mohd Razman and Rabiu Muazu, Musa and Noor Azuan, Abu Osman and Anwar P.P., Abdul Majeed (2021) The classification of skateboarding tricks via transfer learning pipelines. PeerJ Computer Science. pp. 1-18. ISSN 2376-5992. (Published)

Muhammad Ar Rahim, Ibrahim and Muhammad Nur Aiman, Shapiee and Muhammad Amirul, Abdullah and Mohd Azraai, Mohd Razman and Rabiu Muazu, Musa and Anwar P. P., Abdul Majeed (2021) The classification of skateboarding tricks: A support vector machine hyperparameter evaluation optimisation. In: Recent Trends in Mechatronics Towards Industry 4.0. Lecture Notes in Electrical Engineering, 730 . Springer Singapore, Singapore, pp. 1013-1022. ISBN 978-981-33-4596-6 (Printed) 978-981-33-4597-3 (Online)

Muhammad Amirul, Abdullah and Muhammad Ar Rahim, Ibrahim and Muhammad Nur Aiman, Shapiee and Muhammad Aizzat, Zakaria and Mohd Azraai, Mohd Razman and Musa, Rabiu Muazu and Anwar P. P., Abdul Majeed (2021) The Effect of Image Input Transformation from Inertial Measurement Unit Data on the Classification of Skateboarding Tricks. In: RiTA 2020: Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications , 11-13 December 2020 , Virtual hosted by EUREKA Robotics Lab, Cardiff School of Technologies, Cardiff Metropolitan University. pp. 424-432.. ISBN 978-981-16-4803-8 (Published)

Muhammad Amirul, Abdullah and Muhammad Ar Rahim, Ibrahim and Muhammad Nur Aiman, Shapiee and Anwar P. P., Abdul Majeed and Mohd Azraai, Mohd Razman and Rabiu Muazu, Musa and Muhammad Aizzat, Zakaria (2020) The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning. In: Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678 . Springer Singapore, Singapore, pp. 125-132. ISBN 978-981-15-6024-8 (Printed) 978-981-15-6025-5(Online)

Muhammad Amirul, Abdullah and Muhammad Ar Rahim, Ibrahim and Muhammad Nur Aiman, Shapiee and Anwar P. P, Abdul Majeed and Mohd Azraai, Mohd Razman, and Rabiu Muazu, Musa and Muhammad Aizzat, Zakaria (2020) The classification of skateboarding tricks by means of support vector machine: An evaluation of significant time-domain features. In: Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678 (11). Springer, Malaysia, pp. 125-132. ISBN 978-981-15-6025-5

Muhammad Nur Aiman, Shapiee and Muhammad Ar Rahim, Ibrahim and Muhammad Amirul, Abdullah and Rabiu Muazu, Musa and Noor Azuan, Abu Osman and Anwar P. P., Abdul Majeed and Mohd Azraai, Mohd Razman (2020) The classification of skateboarding tricks : A transfer learning and machine learning approach. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (2). pp. 1-12. ISSN 2637-0883. (Published)

Muhammad Nur Aiman, Shapiee and Muhammad Ar Rahim, Ibrahim and Mohd Azraai, M. Razman and Muhammad Amirul, Abdullah and Musa, Rabiu Muazu and Mohd Hasnun Ariff, Hassan and A. P. P., Abdul Majeed (2019) The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning. In: 5th International Conference on Electrical, Control and Computer Engineering (INECCE 2019) , 29-30 July 2019 , Swiss Garden Kuantan. pp. 1-7.. (Unpublished) (Unpublished)

Muhammad Ar Rahim, Ibrahim and Muhammad Amirul, Abdullah and Muhammad Nur Aiman, Shapiee and Mohd Azraai, Mohd Razman and Rabiu Muazu, Musa and Muhammad Aizzat, Zakaria and Noor Azuan, Abu Osman and Anwar P. P., Abdul Majeed The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach. Lecture Notes in Bioengineering. (Published)