𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗦𝗺𝗮𝗿𝘁 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴: 𝗠𝗲𝘁𝗵𝗼𝗱𝘀, 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 book that Springer publisher publishes, official be on Amazon website.

This is the third book edited by Senior Assoc. Prof. Kim Phuc Tran. IAD’s members and collaborators have also contributed professional and scientific knowledge to this book.

This is the third book edited by Senior Assoc. Prof. Kim Phuc Tran. IAD’s members and collaborators have also contributed professional and scientific knowledge to this book under Editor Phuc’s direction.

Congratulations to IAD’s members, collaborators and Editor Kim Phuc Tran

We want to invite our colleague to read the book’s abstract below:

This book offers a comprehensive overview of cutting-edge developments in smart manufacturing, delving into theoretical research, technological advancements, and practical applications of state-of-the-art AI approaches. With Industry 4.0 paving the way for intelligent systems and innovative technologies to improve productivity and quality, the emergence of Industry 5.0 has introduced the concept of augmented intelligence (AuI), a fusion of artificial intelligence (AI) and human intelligence (HI) that promises to revolutionize the manufacturing sector.

As the demand for smart manufacturing continues to soar, this book is a valuable resource for professionals and practitioners seeking to keep abreast of the latest advancements in Industry 5.0. It covers various crucial topics, including product design, predictive maintenance, quality control, digital twin, wearable technology, quantum computing, and machine learning. Additionally, it features insightful case studies that showcase the practical application of these cutting-edge tools in real-world scenarios.

In summary, this academic publication offers an in-depth and up-to-date account of the most recent developments in smart manufacturing, providing readers with a valuable resource for navigating the opportunities and challenges of Industry 5.0.

This book and two encounters will be used as a reference in designing and building an Artificial intelligence program at Dong A University.


𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗦𝗺𝗮𝗿𝘁 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴: 𝗠𝗲𝘁𝗵𝗼𝗱𝘀, 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀	𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘀𝘁𝗶𝗰 𝗚𝗿𝗮𝗽𝗵𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀	𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗖𝗵𝗮𝗿𝘁𝘀 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗔𝗻𝗼𝗺𝗮𝗹𝘆 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴