Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering. - Introduces soft computing techniques for the creation of sustainable solutions for smart materials and manufacturing - Offers perspectives for design, development, and commissioning of intelligent applications - Reviews the latest intelligent technologies and algorithms related to monitoring and mitigation of sustainable engineering - Discusses the implementation of soft computing in the various areas of engineering materials - Looks at future sustainable and intelligent monitoring techniques that will benefit manufacturing

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Yes, you can access Soft Computing in Smart Manufacturing and Materials by Sudan Jha,Shubhabrata Datta,Deepak Prashar,Sarbagya Ratna Shakya,Valentina Emilia Balas in PDF and/or ePUB format, as well as other popular books in Computer Science & Software Development. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Elsevier

Year

2025

eBook ISBN

9780443299285

Edition

Topic

Computer Science

Subtopic

Software Development

Index

Computer Science

Title of Book
Chapter 1 Introduction to smart soft computing in engineering: Embracing intelligence and efficiency
Chapter 2 An enhanced approach for soft computing-based manufacturing optimization using nonlinear intuitionistic fuzzy programming techniques
Chapter 3 Components of smart materials
Chapter 4 Recent trends and innovation in manufacturing with artificial intelligence/machine learning technologies
Chapter 5 Next-gen distributed denial-of-service detection and mitigation in software-defined networking using hybrid machine learning approach
Chapter 6 Soft computing in manufacturing: Trends, innovations, and future prospects
Chapter 7 Artificial intelligence in industrial applications
Chapter 8 Soft computing and system engineering for smart manufacturing
Chapter 9 Application of ANFIS for predicting cutting forces, material removal rate, and surface roughness in dry grinding of Ti–6Al–4V alloy utilizing a 2% CNT nanogrinding tool
Chapter 10 Testing and analyzing genetic algorithms: Advancing ethical intelligence through integrating interpretability, human-centric design, and continuous learning in smart soft computing systems
Chapter 11 Product life-cycle assessment using machine learning
Chapter 12 Ultralow power communication: Challenges and machine learning solutions
Index

About this book

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Information

Table of contents