Items where Author is "Muhammad Amirul, Abdullah"

Abdul Majeed, Anwar P. P. and Muhammad Amirul, Abdullah and Ahmad Fakhri, Ab Nasir and Mohd Azraai, Mohd Razman and Chen, Wei and Yap, Eng Hwa (2024) Surface defect detection : A feature-based transfer learning approach. In: Journal of Physics: Conference Series. 2023 International Symposium on Structural Dynamics of Aerospace, ISSDA 2023 , 9-10 September 2023 , Xi'an. pp. 1-7., 2762 (012088). ISSN 1742-6588 (Published)

Danial Haziq, Rizal and Wan Hasbullah, Mohd Isa and Muhammad Amirul, Abdullah and Abdul Majeed, Anwar P. P. and Norasmiza, Mohd (2023) Effects of varied planar dimensions of IPMC on simulated actuation using COMSOL. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 5 (2). pp. 1-5. ISSN 2637-0883. (Published)

Kiran, Pandian and Mohd Azraai, Mohd Razman and Ismail, Mohd Khairuddin and Muhammad Amirul, Abdullah and Ahmad Fakhri, Ab. Nasir and Wan Hasbullah, Mohd Isa (2023) Sign language recognition using deep learning through LSTM and CNN. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 5 (1). pp. 67-71. ISSN 2637-0883. (Published)

Mohd Izzat, Mohd Rahman and Mohd Azraai, Mohd Razman and Abdul Majeed, Anwar P. P. and Muhammad Nur Aiman, Shapiee and Muhammad Amirul, Abdullah and Musa, Rabiu Muazu (2023) Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis. International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 11 (3). pp. 417-425. ISSN 2147-6799. (Published)

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 Amirul, Abdullah (2022) Classification of skateboarding tricks by synthesizing transfer learning models and machine learning classifiers using different input signal transformations. PhD thesis, Universiti Malaysia Pahang (Contributors, Thesis advisor: Abdul Majeed, Anwar P.P).

Ahmad Shahrizan, Abdul Ghani and Ismail Mohd., Khairuddin and Muhammad Amirul, Abdullah and Ahmad Fakhri, Ab. Nasir and Jessnor Arif, Mat Jizat and Mohd. Azraai, Mohd. Razman and Muhammad Aizzat, Zakaria and Wan Hasbullah, Mat Isa and Anwar P. P., Abdul Majeed (2022) Enabling Industry 4.0 through Advances in Mechatronics. LNEE, 1 (1). Springer Singapore, Springer Link. ISBN 1876-1100

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)

Salman, Abdulaziz Abdo Saif and Mohd Azraai, Mohd Razman and Ismail, Mohd Khairuddin and Muhammad Amirul, Abdullah and Abdul Majeed, Anwar P.P. (2022) The diagnostics of osteoarthritis : A fine-tuned transfer learning approach. In: Lecture Notes in Networks and Systems; 9th International Conference on Robot Intelligence Technology and Applications, RiTA 2021 , 16-17 December 2021 , Daejeon. pp. 455-461., 429 LNNS (276219). ISSN 23673370 ISBN 978-303097671-2 (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 Syafi’i, Mass Duki and Muhammad Nur Aiman, Shapiee and Muhammad Amirul, Abdullah and Ismail, Mohd Khairuddin and Mohd Azraai, Mohd Razman and Anwar P. P., Abdul Majeed (2021) The classification of taekwondo kicks via machine learning: A feature selection investigation. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 3 (1). pp. 61-67. ISSN 2637-0883. (Published)

Amiir Haamzah, Mohamed Ismail and Mohd Azraai, Mohd Razman and Ismail, Mohd Khairuddin and Muhammad Amirul, Abdullah and Rabiu Muazu, Musa and Anwar P. P., Abdul Majeed (2021) The diagnosis of COVID-19 through X-ray images via transfer learning and fine-tuned dense layer on pipeline. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 3 (2). pp. 19-24. ISSN 2637-0883. (Published)

Said Mohamed, Tarek Mohamed Mahmoud and Muhammad Amirul, Abdullah and Alqaraghuli, H. and Musa, Rabiu Muazu and Ahmad Fakhri, Ab Nasir and Mohd Azraai, Mohd Razman and Mohd Yazid, Bajuri and Anwar, P. P. Abdul Majeed (2021) The identification of significant mechanomyography time-domain features for the classification of knee motion. In: Recent Trends in Mechatronics Towards Industry 4.0. Lecture Notes in Electrical Engineering (730). Springer Verlag, Berlin, Germany, 313 -319. ISBN 978-981-33-4596-6

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 Ibrahim, Muhammad Ar Rahim and Mohd Azraai, Mohd Razman and Muhammad Amirul, Abdullah and Musa, Rabiu Muazu and Anwar, P. P. Abdul Majeed (2020) The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models. In: Embracing Industry 4.0: Selected Articles from MUCET 2019 , 19-22 November 2019 , Kuantan, Pahang, Malaysia. pp. 219-226., 678. ISSN 1876-1100 (Published)

Mohamad Ilyas, Rizan and Muhammad Nur Aiman, Shapiee and Muhammad Amirul, Abdullah and Mohd Azraai, Mohd Razman and Anwar P. P., Abdul Majeed (2020) The classification of elbow extension and flexion: A feature selection investigation. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (2). pp. 68-73. ISSN 2637-0883. (Published)

Ibrahim, Muhammad Ar Rahim and Muhammad Nur Aiman, Shapiee and Muhammad Amirul, Abdullah and Mohd Azraai, Mohd Razman and Musa, Rabiu Muazu and Anwar, P. P. Abdul Majeed (2020) The classification of skateboarding Trick Manoeuvres: A Frequency-Domain Evaluation. In: Embracing Industry 4.0: Selected Articles from MUCET 2019 , 19-22 November 2019 , Kuantan, Pahang, Malaysia. pp. 183-194., 678. ISBN 978-981156024-8 (Published)

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)

Zahari, Taha and Musa, Rabiu Muazu and Anwar, P. P. Abdul Majeed and Mohamad Razali, Abdullah and Muhammad Amirul, Abdullah and M. H. A., Hassan (2018) The application of support vector machine in classifying potential archers using bio-mechanical indicators. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 385-391. ISBN 9789811087875

Mohd Hasnun Ariff, Hassan and Muhammad Aizzat, Zakaria and Muhammad Amirul, Abdullah and Anwar, P. P. Abdul Majeed (2018) Badminton agility training device. , [Research Book Profile: Research Report] (Unpublished)

Zahari, Taha and Musa, Rabiu Muazu and Anwar, P. P. Abdul Majeed and Mohamad Razali, Abdullah and Muhammad Amirul, Abdullah and M. H. A., Hassan and Zubair, Khalil (2018) The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables. In: IOP Conference Series: Materials Science and Engineering, International Conference on Innovative Technology, Engineering and Sciences 2018 (iCITES 2018) , 1-2 March 2018 , Universiti Malaysia Pahang (UMP) Pekan Campus Library, Malaysia. pp. 1-7., 342 (012020). ISSN 1757-899X (Published)

Zahari, Taha and Rabiu Muazu, Musa and Mohamad Razali, Abdullah and Mohd Azrai, Mohd Razman and Chei, Ming Lee and Faeiz Azizi, Adnan and Muhammad Amirul, Abdullah and Haque, Mainul (2017) The Application of Inertial Measurement Units and Wearable Sensors to Measure Selected Physiological Indicators in Archery. Asian Journal of Pharmaceutical Research and Health Care, 9 (2). pp. 85-92. ISSN 2250-1460 . (Published)

Anwar, P. P. Abdul Majeed and Zahari, Taha and Ismail, Mohd Khairuddin and Mohd Yashim, Wong Paul Tze and Muhammad Amirul, Abdullah and Mohd Azraai, M. Razman (2017) The Control of an Upper-Limb Exoskeleton by Means of a Particle Swarm Optimised Active Force Control for Motor Recovery. In: IFMBE Proceedings: 3rd International Conference on Movement, Health & Exercise (MoHE 2016) , 28-30 September 2016 , Melaka, Malaysia. pp. 56-62., 58. ISBN 978-981-10-3737-5 (Published)

Zahari, Taha and Jessnor Arif, Mat-Jizat and Muhammad Amirul, Abdullah and Mohamad Razali, Abdullah and Musa, Rabiu Muazu and Mohamad Fauzi, Ibrahim and Mohd Ali Hanafiah, Shaharudin (2017) Integrated multi sensors and camera video sequence application for performance monitoring in archery. In: 4th Asia Pacific Conference on Manufacturing Systems and the 3rd International Manufacturing Engineering Conference, APCOMS-iMEC 2017 , 7-8 December 2017 , Yogyakarta, Indonesia. pp. 1-5., 319 (1). ISSN 1757-8981 (Print), 1757-899X (Online) (Published)

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)