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Learning and Analytics in Intelligent Systems

Machine Learning Paradigms

Advances in Deep Learning-based Technological Applications

Editors: Tsihrintzis, George A., Jain, Lakhmi C. (Eds.)

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  • Presents recent advances in Deep Learning Theory and Applications
  • Includes theoretical advances as well as application areas
  • Written by experts in the field
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  • ISBN 978-3-030-49724-8
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About this book

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. 

This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.


Table of contents (16 chapters)

Table of contents (16 chapters)
  • Machine Learning Paradigms: Introduction to Deep Learning-Based Technological Applications

    Pages 1-5

    Tsihrintzis, George A. (et al.)

  • Vision to Language: Methods, Metrics and Datasets

    Pages 9-62

    Sharif, Naeha (et al.)

  • Deep Learning Techniques for Geospatial Data Analysis

    Pages 63-81

    Kiwelekar, Arvind W. (et al.)

  • Deep Learning Approaches in Food Recognition

    Pages 83-108

    Kiourt, Chairi (et al.)

  • Deep Learning for Twitter Sentiment Analysis: The Effect of Pre-trained Word Embedding

    Pages 111-124

    Krouska, Akrivi (et al.)

Buy this book

eBook $149.00
price for USA in USD
  • ISBN 978-3-030-49724-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-030-49723-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning Paradigms
Book Subtitle
Advances in Deep Learning-based Technological Applications
Editors
  • George A. Tsihrintzis
  • Lakhmi C. Jain
Series Title
Learning and Analytics in Intelligent Systems
Series Volume
18
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-49724-8
DOI
10.1007/978-3-030-49724-8
Hardcover ISBN
978-3-030-49723-1
Series ISSN
2662-3447
Edition Number
1
Number of Pages
XII, 430
Number of Illustrations
24 b/w illustrations, 154 illustrations in colour
Topics

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