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Recent Trends in Mechatronics Towards Industry 4.0
This book presents part of the iM3F 2020 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.
iMEC-APCOMS 2019
This book presents the proceedings of the 4th International Manufacturing Engineering Conference and 5th Asia Pacific Conference on Manufacturing Systems (iMEC-APCOMS 2019), held in Putrajaya, Malaysia, on 21–22 August 2019. Covering scientific research in the field of manufacturing engineering, with focuses on industrial engineering, materials, processes, the book appeals to researchers, academics, scientists, students, engineers and practitioners who are interested in the latest developments and applications related to manufacturing engineering.
Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 4th International Manufacturing Engineering Conference
This book presents the proceedings of the 4th Asia Pacific Conference on Manufacturing Systems and International Manufacturing Engineering Conference (APCOMS-IMEC 2022), held in Surakarta, Indonesia, on 27 October 2022. The book presented selected papers covering scientific research in the field of manufacturing engineering, with focuses on industrial engineering, materials, and processes. The book appeals to researchers, academics, scientists, students, engineers, and practitioners who are interested in the latest developments and applications related to manufacturing engineering.
ICAESS 2023
We take great pleasure in presenting the proceedings of the fifth edition of the International Conference on Applied Economics and Social Science (ICAESS), 2023, held on the 7th of November 2023 in Batam. The conference envisions a future where economic prosperity and environmental well-being are harmonized. By fostering interdisciplinary collaborations, it aims to unite environmental experts, technologists, and policymakers in crafting holistic solutions. The theme of ICAESS 2023 was “Harmonizing Green Economy, Sustainable Development, and Digitalization for a Thriving Future”. The technical program for ICAESS 2023 comprised 37 full papers, boasting an acceptance rate of 45%. The confer...
ICAE 2023
We are delighted to provide the proceedings of the sixth International Conference on Applied Engineering (ICAE), 2023, which was conducted in Batam on November 7th, 2023. This conference, which has as its theme "Synergizing Green Economy, Sustainable Development, and Digitalization for a Prosperous Future," is a significant international assembly that seeks to integrate technological innovation, economic expansion, and environmental sustainability. An ensemble of stakeholders, comprising policymakers, entrepreneurs, and experts, assembles to examine the mutually beneficial correlation that exists between digital advancements and a green economy. The acceptance rate for ICAE 2023 stands at 25...
Embracing Industry 4.0
This book highlights selected articles from the electrical engineering track, with a focus on the latest trends in electrical and electronic engineering toward embracing Industry 4.0, as part of the Malaysian Technical Universities Conference on Engineering and Technology—MUCET 2019. The event brings together researchers and professionals in the fields of engineering, research, and technology, and provides a platform for future collaborations and exchanges.
Intelligent Manufacturing and Mechatronics
This book presents the proceedings of SympoSIMM 2021, the 4th edition of the Symposium on Intelligent Manufacturing and Mechatronics. Focusing on “Strengthening Innovations Towards Industry 4.0”, the book is divided into five parts covering various areas of manufacturing engineering and mechatronics stream, namely, intelligent manufacturing and artificial intelligence, Instrumentation and control, design modelling and simulation, process and machining technology, and smart material. The book will be a valuable resource for readers wishing to embrace the new era of Industry 4.0.
Advances in Intelligent Manufacturing and Mechatronics
This book presents parts of the iM3F 2022 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.
Enabling Industry 4.0 through Advances in Mechatronics
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.
Robot Intelligence Technology and Applications
This book constitutes revised selected papers from the 6th International Conference on Robot Intelligence Technology and Applications, RiTA 2018, held in Putrajaya, Malaysia, in December 2018. The 20 full papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers present studies on machine learning; optimization; modelling and simulation; path planning; neural networks; landmark recognition; and reinforcement learning.
