國立高雄大學圖資館 |

登入

回首頁

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Measurement, automation, and control in artificial intelligence and machine learningedited by Puramanathan Naidoo, Matthew Sibanda.
其他作者:	Naidoo, Puramanathan.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xv, 306 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence.
電子資源:	https://doi.org/10.1007/978-3-031-91802-5
ISBN:	9783031918025$q(electronic bk.)

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$q(electronic bk.)

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

194058
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Measurement, automation, and control in artificial intelligence and machine learning
LDR:03285nmm a22003375a 4500 001 689729
003 DE-He213
005 20251115120421.0
006 m d
007 cr nn 008maaau
008 260409s2025 sz s 0 eng d
020 $a 9783031918025$q(electronic bk.)
020 $a 9783031918018$q(paper)
024 7 $a 10.1007/978-3-031-91802-5 $2 doi
035 $a 978-3-031-91802-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335
072 7 $a TJFM $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .M484 2025
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 194058
650 0 $a Machine learning. $3 188639
650 0 $a Automatic control. $3 182078
650 1 4 $a Control, Robotics, Automation. $3 914981
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Communications Engineering, Networks. $3 273745
700 1 $a Naidoo, Puramanathan. $3 1004942
700 1 $a Sibanda, Matthew. $3 1004943
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Signals and communication technology. $3 557664
856 4 0 $u https://doi.org/10.1007/978-3-031-91802-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)