Open access peer-reviewed Edited Volume

Deep Learning Applications

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Academic Editor

Pier Luigi Mazzeo
Pier Luigi Mazzeo

Italian National Research Council (CNR),
Italy

Co-editor

PAOLO SPAGNOLO
PAOLO SPAGNOLO

Institute of Applied Science and Intelligent Systems,
Italy

Published14 July 2021

Doi10.5772/intechopen.91576

ISBN978-1-83962-375-2

Print ISBN978-1-83962-374-5

eBook (PDF) ISBN978-1-83962-376-9

Copyright year2021

Number of pages214

Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.

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Edited Volume and chapters are indexed in

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  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
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Table of Contents

Open access  chapters

407
2
412
3
5. Modeling the Behavior of Amphiphilic Aqueous Solutions

By Gonzalo Astray Dopazo, Cecilia Martínez-Castillo, Manuel Alonso-Ferrer and Juan Carlos Mejuto

456
8. Application of Deep Learning Methods for Detection and Tracking of Players

By Marina Ivasic-Kos, Kristina Host and Miran Pobar

809
2
9. Application of Artificial Neural Networks to Chemical and Process Engineering

By Fabio Machado Cavalcanti, Camila Emilia Kozonoe, Kelvin André Pacheco and Rita Maria de Brito Alves

1,169
8
819
3

IMPACT OF THIS BOOK AND ITS CHAPTERS

6,615 Total Chapter Downloads

25 Crossref Citations

1 Web of Science Citations

54 Dimensions Citations

35 Altmetric Score

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