Items where Author is "Syukran Hakim, Norazman"
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Book Chapter
Babu, Devin and Abdul Nasir, Abd Ghafar and Syukran Hakim, Norazman and Mohd Amir Shahlan, Mohd-aspar (2024) Analysis of grasping mechanism for random regular object of improved prosthetic robotic arm. In: Progressive and Integrative Ideas and Applications of Engineering Systems Under the Framework of IOT and AI. Lecture Notes in Electrical Engineering, 1076 . Springer, Singapore, 16 -28. ISBN 978-981996302-7
Conference or Workshop Item
Syukran Hakim, Norazman and Mohd Amir Shahlan, Mohd-Aspar and Abdul Nasir, Abd Ghafar and Norasilah, Karumdin and Ahmad Noor Syukri, Zainal Abidin (2024) Artificial Neural Network Analysis in Road Crash Data: A Review on Its Potential Application in Autonomous Vehicles. In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 95-104., 850. ISSN 2367-3389 ISBN 978-981-99-8819-8 (Published)
Mohd Amir Shahlan, Mohd Aspar and Syukran Hakim, Norazman and Abdul Nasir, Abd Ghafar and Norasilah, Karumdin and Azizi, Miskon (2024) Nanomaterial in Robotics: Bridging the Gap Between Current Applications and Future Possibilities. In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 115-123., 850. ISSN 978-981-99-8819-8 ISBN 978-981-99-8819-8 (Published)
Syukran Hakim, Norazman and Erny Afiza, Alias and Izzati Salwani, Zaidi (2022) Simulation of microbubble reconstruction using compressive holography. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 198-202., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)
Thesis
Syukran Hakim, Norazman (2013) Study on an application of bioengineering by layer TIRF measurement. Masters thesis, Tokyo University of Science (Contributors, UNSPECIFIED: UNSPECIFIED).