Open access peer-reviewed Edited Volume

AI and Learning Systems

Industrial Applications and Future Directions


Erik Dahlquist

Mälardalen University

Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall:
•Digital Platforms and Learning Systems
•Industrial Applications of AI

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AI and Learning SystemsIndustrial Applications and Future DirectionsEdited by Konstantinos Kyprianidis

Published: February 17th 2021

DOI: 10.5772/intechopen.85833

ISBN: 978-1-78985-878-5

Print ISBN: 978-1-78985-877-8

eBook (PDF) ISBN: 978-1-83968-601-6

Copyright year: 2021

Books open for chapter submissions

396 Total Chapter Downloads


Open access peer-reviewed

1. AI Overview: Methods and Structures

By Erik Dahlquist, Moksadur Rahman, Jan Skvaril and Konstantinos Kyprianidis


Open access peer-reviewed

2. A Framework for Learning System for Complex Industrial Processes

By Moksadur Rahman, Amare Desalegn Fentaye, Valentina Zaccaria, Ioanna Aslanidou, Erik Dahlquist and Konstantinos Kyprianidis


Open access peer-reviewed

3. AI & Digital Platforms: The Market [Part 1]

By Örjan Larsson


Open access peer-reviewed

4. AI & Digital Platforms: The Technology [Part 2]

By Örjan Larsson


Open access peer-reviewed

5. Artificial Intelligence and ISO 26000 (Guidance on Social Responsibility)

By Weiwei Zhao


Open access peer-reviewed

6. Operationalizing Heterogeneous Data-Driven Process Models for Various Industrial Sectors through Microservice-Oriented Cloud-Based Architecture

By Valdemar Lipenko, Sebastian Nigl, Andreas Roither-Voigt and Zelenay David


Open access peer-reviewed

7. Machine Learning Models for Industrial Applications

By Enislay Ramentol, Tomas Olsson and Shaibal Barua


Open access peer-reviewed

8. Consensus Control of Distributed Battery Energy Storage Devices in Smart Grids

By Javad Khazaei and Dinh Hoa Nguyen


Open access peer-reviewed

9. Power Flow Management Algorithm for a Remote Microgrid Based on Artificial Intelligence Techniques

By Karim Belmokhtar and Mauricio Higuita Cano


Open access peer-reviewed

10. Adaptive Load Frequency Control in Power Systems Using Optimization Techniques

By Tarek Hassan Mohamed, Hussein Abubakr, Mahmoud M. Hussein and Gaber S. Salman


Open access peer-reviewed

11. Modeling the Hidden Risk of Polyethylene Contaminants within the Supply Chain

By Gladys Bonilla-Enríquez, Patricia Cano-Olivos, José-Luis Martínez-Flores, Diana Sánchez-Partida and Santiago-Omar Caballero-Morales


Open access peer-reviewed

12. Sustainable Energy Management of Institutional Buildings through Load Prediction Models: Review and Case Study

By Antonio Santos Sánchez, Maria João Regufe, Ana Mafalda Ribeiro and Idelfonso B.R. Nogueira


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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