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Measurement, automation, and control in artificial intelligence and machine learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Measurement, automation, and control in artificial intelligence and machine learning/ edited by Puramanathan Naidoo, Matthew Sibanda.
other author:	Naidoo, Puramanathan.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 306 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Historical Evolution of Process Automation -- IoT in Industrial Process Control -- Machine Learning and AI in Automation -- Cybersecurity for Automated Processes -- Sustainability and Environmental Considerations in Automation -- Case studies: Successful Implementations of Industry 4.0 paradigms -- Soft skills and Management in the era of Automated Industries -- Future trends and Predictions in Process Automation -- Application Areas of Process Automation -- Opportunities and Challenges of Process Automation -- Integration of Robotics in Process Automation -- Intelligent Process Automation -- Integration of UAVs in Process Automation -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-91802-5
ISBN:	9783031918025

Measurement, automation, and control in artificial intelligence and machine learning
Measurement, automation, and control in artificial intelligence and machine learning[electronic resource] /edited by Puramanathan Naidoo, Matthew Sibanda. - Cham :Springer Nature Switzerland :2025. - xv, 306 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

Introduction -- Historical Evolution of Process Automation -- IoT in Industrial Process Control -- Machine Learning and AI in Automation -- Cybersecurity for Automated Processes -- Sustainability and Environmental Considerations in Automation -- Case studies: Successful Implementations of Industry 4.0 paradigms -- Soft skills and Management in the era of Automated Industries -- Future trends and Predictions in Process Automation -- Application Areas of Process Automation -- Opportunities and Challenges of Process Automation -- Integration of Robotics in Process Automation -- Intelligent Process Automation -- Integration of UAVs in Process Automation -- Conclusion.

This book first provides users with the fundamentals of process automation, process automation architecture, and their application areas. The authors then show how artificial intelligence (AI) and machine learning (ML) enhance these fields. The book delves into the transformative era of integrative process automation and control engineering (IPACE) and aims to empower readers to harness the power of Industry 4.0. It transcends siloed approaches, uniting cutting-edge technologies like the Industrial Internet of Things (IIoT), AI, ML, and digital twins with established process automation and control principles. Furthermore, the authors share hands-on experience with the technology along with applications in various sectors such as transportation, smart homes, production/manufacturing, renewable energy, and agriculture. The book discusses new technological advances, current research trends, and industry requirements. This book serves as a roadmap for process automation practitioners, engineers, scientists, executives, and students, inspiring them to embrace the opportunities and challenges of IPACE and shape the future of industrial automation. Serves as a reference for developers to understand and implement process automation and control engineering systems; Shows how process automation and control engineering can produce consistent products and services for global demand; Provides a roadmap for process automation practitioners, engineers, scientists, executives, and students.

ISBN: 9783031918025

Standard No.: 10.1007/978-3-031-91802-5doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Measurement, automation, and control in artificial intelligence and machine learning
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245 0 0 $a Measurement, automation, and control in artificial intelligence and machine learning $h [electronic resource] / $c edited by Puramanathan Naidoo, Matthew Sibanda.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xv, 306 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4870
505 0 $a Introduction -- Historical Evolution of Process Automation -- IoT in Industrial Process Control -- Machine Learning and AI in Automation -- Cybersecurity for Automated Processes -- Sustainability and Environmental Considerations in Automation -- Case studies: Successful Implementations of Industry 4.0 paradigms -- Soft skills and Management in the era of Automated Industries -- Future trends and Predictions in Process Automation -- Application Areas of Process Automation -- Opportunities and Challenges of Process Automation -- Integration of Robotics in Process Automation -- Intelligent Process Automation -- Integration of UAVs in Process Automation -- Conclusion.
520 $a This book first provides users with the fundamentals of process automation, process automation architecture, and their application areas. The authors then show how artificial intelligence (AI) and machine learning (ML) enhance these fields. The book delves into the transformative era of integrative process automation and control engineering (IPACE) and aims to empower readers to harness the power of Industry 4.0. It transcends siloed approaches, uniting cutting-edge technologies like the Industrial Internet of Things (IIoT), AI, ML, and digital twins with established process automation and control principles. Furthermore, the authors share hands-on experience with the technology along with applications in various sectors such as transportation, smart homes, production/manufacturing, renewable energy, and agriculture. The book discusses new technological advances, current research trends, and industry requirements. This book serves as a roadmap for process automation practitioners, engineers, scientists, executives, and students, inspiring them to embrace the opportunities and challenges of IPACE and shape the future of industrial automation. Serves as a reference for developers to understand and implement process automation and control engineering systems; Shows how process automation and control engineering can produce consistent products and services for global demand; Provides a roadmap for process automation practitioners, engineers, scientists, executives, and students.
650 0 $a Artificial intelligence. $3 516317
650 0 $a Machine learning. $3 533906
650 0 $a Automatic control. $3 535879
650 1 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Naidoo, Puramanathan. $3 3803981
700 1 $a Sibanda, Matthew. $3 3803982
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Signals and communication technology. $3 1565543
856 4 0 $u https://doi.org/10.1007/978-3-031-91802-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)