Sarbagya Ratna Shakya – författare

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 manufacturingOffers perspectives for design, development, and commissioning of intelligent applicationsReviews the latest intelligent technologies and algorithms related to monitoring and mitigation of sustainable engineeringDiscusses the implementation of soft computing in the various areas of engineering materialsLooks at future sustainable and intelligent monitoring techniques that will benefit manufacturing

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

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.This book:Discusses and evaluates different quality assessment systems and authentication of smart devicesAddresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of ThingsFocuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devicesExplains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security featuresPresents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilitiesIt is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.This book:Discusses and evaluates different quality assessment systems and authentication of smart devicesAddresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of ThingsFocuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devicesExplains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security featuresPresents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilitiesIt is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.

This book:

Discusses and evaluates different quality assessment systems and authentication of smart devices Addresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of Things Focuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devices Explains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security features Presents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilities

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.

This book:

Discusses and evaluates different quality assessment systems and authentication of smart devices Addresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of Things Focuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devices Explains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security features Presents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilities

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.