Soft Computing Techniques in Engineering Applications

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous conce...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Patnaik, Srikanta (Editor), Zhong, Baojiang (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Series:Studies in Computational Intelligence, 543
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • From the Contents: Machine Vision Solutions in Automotive Industry Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application
  • Matlab GUI Package for Comparing Data Clustering Algorithms
  • Multi Objective Line Symmetry Based Evolutionary Clustering Approach
  • An Efficient Method for Contrast Enhancement of Digital Mammographic Images
  • Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle
  • A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots.