Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)

by Ajith Abraham (Editor), Andries Engelbrecht (Editor), Fabio Scotti (Editor), Niketa Gandhi (Editor), Pooja Manghirmalani Mishra (Editor)

Overview

This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.

Product Details

ISBN-13:	9783030963026
Publisher:	Springer-Verlag New York, LLC
Publication date:	02/21/2022
Series:	Lecture Notes in Networks and Systems , #417
Sold by:	Barnes & Noble
Format:	eBook
File size:	80 MB
Note:	This product may take a few minutes to download.

Table of Contents

Performance Enhancement of Action Recognition System Using Inception V3 Model.- Synchronized Conceptual Representations in Unsupervised Generative Learning.- The Xoshiro+ Pseudorandom Number Generator in a Computer Chess Program.- IISCAN: Index-based Incremental Structural Clustering Technique for Billion-edge graphs.- Using A Data Mining Approach to Detect Automobile Insurance Fraud.- Arabic fricative consonants characterization according to places of articulation .- Stance Detection on Vietnamese Social Media.- Perception of Autonomous Vehicle for Localization Using Camera and GPS.- EMG-CapsNet: Elu Multiplication Gate Capsule Network for Complex Images Classification.