Open access peer-reviewed Edited Volume

AI and Learning Systems - Industrial Applications and Future Directions

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4,211 Chapter Downloads

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Academic Editor

Konstantinos Kyprianidis

Mälardalen University

Co-editor

Erik Dahlquist

Mälardalen University

PublishedFebruary 17th, 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
  • Worldcat
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Table of Contents

Open access peer-reviewed  chapters

1. AI Overview: Methods and Structures

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

388
1
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

358
341
265
7. Machine Learning Models for Industrial Applications

By Enislay Ramentol, Tomas Olsson and Shaibal Barua

383
370
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

477
4
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

310
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

312
1

IMPACT OF THIS BOOK AND ITS CHAPTERS

4,211 Total Chapter Downloads

7 Crossref Citations

2 Web of Science Citations

12 Dimensions Citations

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