Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) / edited by Ajith Abraham, M. A. Jabbar, Sanju Tiwari, Isabel M. S. Jesus.

Format
Book
Language
English
Εdition
1st ed. 2021.
Published/​Created
Cham : Springer International Publishing : Imprint: Springer, 2021.
Description
1 online resource (323 pages) : illustrations

Details

Subject(s)
Editor
Series
Summary note
This book highlights recent research on soft computing, pattern recognition and biologically inspired computing. It presents 24 selected papers from the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) and 5 papers from the 11th World Congress on Nature and Biologically Inspired Computing (NaBIC 2019), held at Vardhaman College of Engineering, Hyderabad, India, on December 13–15, 2019. SoCPaR–NaBIC is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and bio-inspired computing, as well as their industrial and real-world applications. Including contributions by authors from 15 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Contents
  • Generalized Fuzzy Rough Sets Based on New Fuzzy Similarity Relation
  • SV-NET: A Deep Learning Approach To Video Based Human Activity Recognition
  • Machine Learning based Framework for Recognizing Traffic Signs on Road Surfaces
  • Cursor Control Using Face Gestures
  • A Smart Discussion Forum Website
  • Certificate Management System Using Blockchain
  • Reality Check in Virtual Space for Privacy Behavior of Indian Users of Social Networking Sites
  • Application of artificial electric field algorithm for economic load dispatch problem
  • Intelligent Data Compression Policy for Hadoop Performance Optimization.
ISBN
3-030-49345-8
Doi
  • 10.1007/978-3-030-49345-5
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