Advances in Intelligent Systems and Computing

Computational Vision and Bio-Inspired Computing

ICCVBIC 2019

Editors: Smys, S., Tavares, J.M.R.S., Balas, V.E., Iliyasu, A.M. (Eds.)

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  • Presents innovations in bio-inspired computing applications
  • Includes the proceedings of the International Conference on Computational Vision and Bio Inspired Computing, held in Coimbatore, India, on September 25–26, 2019
  • Describes new algorithms and research findings
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eBook $229.00
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  • ISBN 978-3-030-37218-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $299.99
price for USA in USD
  • ISBN 978-3-030-37217-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models.

The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications. 

Table of contents (147 chapters)

Table of contents (147 chapters)
  • Psychosocial Analysis of Policy Confidence Through Multifactorial Statistics

    Pages 1-7

    Silva, Jesús (et al.)

  • Human Pose Detection: A Machine Learning Approach

    Pages 8-18

    Kakati, Munindra (et al.)

  • Machine Learning Algorithm in Smart Farming for Crop Identification

    Pages 19-25

    Vindya, N. D. (et al.)

  • Analysis of Feature Extraction Algorithm Using Two Dimensional Discrete Wavelet Transforms in Mammograms to Detect Microcalcifications

    Pages 26-39

    Bose, Subash Chandra (et al.)

  • Prediction of Fetal Distress Using Linear and Non-linear Features of CTG Signals

    Pages 40-47

    Ramanujam, E. (et al.)

Buy this book

eBook $229.00
price for USA in USD (gross)
  • ISBN 978-3-030-37218-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $299.99
price for USA in USD
  • ISBN 978-3-030-37217-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Vision and Bio-Inspired Computing
Book Subtitle
ICCVBIC 2019
Editors
  • S. Smys
  • João Manuel R. S. Tavares
  • Valentina E. Balas
  • Abdullah M. Iliyasu
Series Title
Advances in Intelligent Systems and Computing
Series Volume
1108
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-37218-7
DOI
10.1007/978-3-030-37218-7
Softcover ISBN
978-3-030-37217-0
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XXV, 1413
Number of Illustrations
720 b/w illustrations
Topics