Soft Computing in Smart Manufacturing : : Solutions toward Industry 5.0 / / ed. by Tatjana Sibalija, J. Paulo Davim.

This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft compu...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2021]
©2022
Year of Publication:2021
Language:English
Series:Advanced Mechanical Engineering ,
Online Access:
Physical Description:1 online resource (XIV, 277 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • About the editors
  • Contents
  • List of contributing authors
  • 1 Control, monitoring, modeling, and optimization of manufacturing and machining technologies
  • 2 Trustworthy human–machine assistance by dynamic process security monitoring in industrial environments
  • 3 Application of convolutional neural networks for visual control of intelligent robotic systems
  • 4 Digital twins in smart manufacturing
  • 5 A novel implementation of an open CNC PC-based and service-oriented architecture-based monitoring system for STEP-NC – a case study
  • 6 Smart system based on STEP-NC for machine vision inspection (3SMVI)
  • 7 Soft computing in advanced cutting processes
  • 8 Modeling and optimization of AWJM process on the processing of Banana fiber-reinforced polymer composites using Taguchi-JAYA method
  • Index