Name: Artificial Intelligence for Smart Manufacturing. Methods, Applications, and Challenges
SKU: 64789103
Price: 162.58 USD
Availability: InStock
Author: Kim Phuc Tran
ISBN: 9783031305122

portada Artificial Intelligence for Smart Manufacturing. Methods, Applications, and Challenges

Artificial Intelligence for Smart Manufacturing. Methods, Applications, and Challenges

Formato

Libro Físico

Editorial

Springer International Publishing AG

Autor

Kim Phuc Tran

Colección

Springer Series in Reliability Engineering

Año

2024

N° páginas

269

Encuadernación

Tapa Blanda

Dimensiones

23.5x15.5 cm

ISBN13

9783031305122

Artificial Intelligence for Smart Manufacturing. Methods, Applications, and Challenges

Kim Phuc Tran (Autor) · Springer International Publishing AG · Tapa Blanda

Libro Nuevo Importado

Envío: 20 a 27 días háb.

$ 295.61$ 162.58

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 162.58

Llega entre el 13 Oct y el 26 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Artificial Intelligence for Smart Manufacturing. Methods, Applications, and Challenges"

This book provides readers with a comprehensive overview of the latest developments in the field of smart manufacturing, exploring theoretical research, technological advancements, and practical applications of AI approaches. With Industry 4.0 paving the way for intelligent systems and innovative technologies to enhance productivity and quality, the transition to Industry 5.0 has introduced a new concept known as augmented intelligence (AuI), combining artificial intelligence (AI) with human intelligence (HI). As the demand for smart manufacturing continues to grow, this book serves as a valuable resource for professionals and practitioners looking to stay up-to-date with the latest advancements in Industry 5.0. Covering a range of important topics such as product design, predictive maintenance, quality control, digital twin, wearable technology, quantum, and machine learning, the book also features insightful case studies that demonstrate the practical applicationof these tools in real-world scenarios. Overall, this book provides a comprehensive and up-to-date account of the latest advancements in smart manufacturing, offering readers a valuable resource for navigating the challenges and opportunities presented by Industry 5.0.