Open access peer-reviewed Edited Volume

AI and Learning Systems - Industrial Applications and Future Directions

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7,385 Chapter Downloads

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Academic Editor

Konstantinos Kyprianidis
Konstantinos Kyprianidis

Mälardalen University,
Sweden

Co-editor

Erik Dahlquist
Erik Dahlquist

Mälardalen University,
Sweden

Published17 February 2021

Doi10.5772/intechopen.85833

ISBN978-1-78985-878-5

Print ISBN978-1-78985-877-8

eBook (PDF) ISBN978-1-83968-601-6

Copyright year2021

Number of pages272

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Knowledge Unlatched

This book has been funded by Knowledge Unlatched. More information on this initiative can be found on http://www.knowledgeunlatched.org

Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
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Table of Contents

Open access  chapters

1. AI Overview: Methods and Structures

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

741
2
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

568
3
590
1
447
1
523
1
7. Machine Learning Models for Industrial Applications

By Enislay Ramentol, Tomas Olsson and Shaibal Barua

617
529
1
10. Adaptive Load Frequency Control in Power Systems Using Optimization Techniques

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

1,182
7
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

506
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

519
1

IMPACT OF THIS BOOK AND ITS CHAPTERS

7,385 Total Chapter Downloads

18 Crossref Citations

2 Web of Science Citations

28 Dimensions Citations

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