
Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017)
Springer (Publisher)
Published on 10. March 2018
Book
Paperback/Softback
XIV, 196 pages
978-3-319-76356-9 (ISBN)
Description
This book presents 18 carefully selected papers from the ninth edition of the International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017), which was held in Marrakesh, Morocco from December 11 to 13, 2017. A premier conference in the Soft Computing field, SoCPaR brings together the world's leading researchers and practitioners interested in advancing the state of the art in Soft Computing and Pattern Recognition, allowing them to exchange notes on a broad range of disciplines. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
More details
Series
Edition
2018 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
76 s/w Abbildungen
XIV, 196 p. 76 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
330 gr
ISBN-13
978-3-319-76356-9 (9783319763569)
DOI
10.1007/978-3-319-76357-6
Schweitzer Classification
Other editions
Additional editions

Ajith Abraham | Abdelkrim Haqiq | Azah Kamilah Muda
Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017)
E-Book
03/2018
1st Edition
Springer
€96.29
Available for download
Content
An Energy-Efficient MAC Protocol for Mobile Wireless Sensor Network Based on IR-UWB.- Obstacle Detection Algorithm by Stereoscopic Image Processing : Navigation Assistance for the Blind and Visually Impaired.- A Simultaneous Topic and Sentiment Classification of Tweets.- Local Directional Multi Radius Binary Pattern: Novel Descriptor for Face Recognition Application.- Content-based Image Retrieval Approach Using Color and Texture Applied to Two Databases (Coil-100 and Wang).- Shape Classification Using B-spline Approximation and Contour Based Shape Descriptors.- An Image Processing Based Framework Using Crowdsourcing for a Successful Suspect Investigation.- Recognition and Classification of Arabic Fricative Consonants.- Cancer Classification Using Gene Expression Profiling: Application of the Filter Approach with the Clustering Algorithm.