Enabling Industry 4.0 through Advances in Mechatronics
Selected Articles from iM3F 2021, Malaysia
Gebonden Engels 2022 9789811920943Samenvatting
This book presents part of the iM3F 2021 proceedings from the mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.
Specificaties
Lezersrecensies
Inhoudsopgave
Optimization of Waterjet Paint Removal Operation using Artificial Neural Network Abdullah Faisal Alzaghir, Mohd Nazir Mat Nawi, M. A. Gebremariam and Azmir Azhari
Light Path Simulation for Optical Switch Based on Digital Electromagnetic Actuators Thi Thanh Vi Nguyen, Nguyen Duy Minh Phan, Ngo Quoc Huy Tran, Le Anh Doan, and Quang Truong Vo
An Application of Charge-Coupled Device (CCD) Tomography System for Gemological Industry - A ReviewFatinah Mohd Rahalim, Juliza Jamaludin, Syarfa Najihah Raisin, Wan Zakiah Wan Ismail, Irneza Ismail, Ruzairi Abdul Rahim and Yasmin Abdul Wahab
Prediction of Abrasive Waterjet Machining of Sheet Metals using Artificial Neural Network Nur Khadijah Mohammed Mazlan, Nazrin Mokhtar, M. A. Gebremariam and Azmir Azhari
You Are Too Loud! Classification of Psychological Conditions for Stress Detection System using Galvanic Skin Response Amirul Aidy Amiruldin and Aimi Shazwani Ghazali
Universiti Malaysia Pahang Autonomous Shuttle Development: Lane Classification Analysis using Convolutional Neural Network (CNN)
Lee Yin Yee and Muhammad Aizzat Zakaria
Eco-Design of Electric Vehicle Battery Pack for Ease of Disassembly Chew, X.Q., Tan, W.J., Sakundarini, N., Chin, C.M.M, Garg, A., and Singh, S.
Electric Vehicle Drive Specification Modelling for Three Wheels Scooter ConfigurationM. Faris, F. R. M. Romlay, A. R. Razali, M. R. Hanifah, and A. Ghazali
Experimentation on Spectra Data Regression using Dense Multilayer Neural Networks with Common Pre-processing
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