Machine Learning and Data Mining Annual Volume 2023

*Edited by Marco Antonio Aceves-Fernández*

Published in London, United Kingdom

Machine Learning and Data Mining Annual Volume 2023 http://dx.doi.org/10.5772/intechopen.113978 Edited by Marco Antonio Aceves-Fernández

#### Contributors

Bruno Menezes, Erick Sperandio, Júnia Ortiz, Ricardo de Oliveira, Michael D. Dong Wang, Janine Zitianellis, Hany Mohamed Nabil Helmy, Sherif El Diasty, Hazem Shatila, Luwei Li, Ali Akbar Firoozi, Ali Asghar Firoozi

#### © The Editor(s) and the Author(s) 2023

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#### Notice

Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book.

First published in London, United Kingdom, 2023 by IntechOpen IntechOpen is the global imprint of INTECHOPEN LIMITED, registered in England and Wales, registration number: 11086078, 5 Princes Gate Court, London, SW7 2QJ, United Kingdom Printed in Croatia

British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library

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Machine Learning and Data Mining Annual Volume 2023 Edited by Marco Antonio Aceves-Fernández p. cm.

This title is part of the Artificial Intelligence Book Series, Volume 21 Series Editor: Andries Engelbrecht

Print ISBN 978-0-85014-513-7 Online ISBN 978-0-85014-514-4 eBook (PDF) ISBN 978-0-85014-515-1 ISSN 2633-1403
