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Soft Computing Techniques in Engineering Applications

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Cover of 'Soft Computing Techniques in Engineering Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Vision Solutions in Automotive Industry
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    Chapter 2 Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application
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    Chapter 3 A Matlab GUI Package for Comparing Data Clustering Algorithms
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    Chapter 4 Multi Objective Line Symmetry Based Evolutionary Clustering Approach
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    Chapter 5 An Efficient Method for Contrast Enhancement of Digital Mammographic Images
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    Chapter 6 Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle
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    Chapter 7 A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots
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    Chapter 8 Pseudo-Fractional Tap-Length Learning Based Applied Soft Computing for Structure Adaptation of LMS in High Noise Environment
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    Chapter 9 Medical Image Analysis Using Soft Computing Techniques
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    Chapter 10 Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique
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    Chapter 11 Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System
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    Chapter 12 Comparison of Edge Detection Algorithm for Part Identification in a Vision Guided Robotic Assembly System
Attention for Chapter 11: Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System
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Chapter title
Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System
Chapter number 11
Book title
Soft Computing Techniques in Engineering Applications
Published by
Springer International Publishing, February 2014
DOI 10.1007/978-3-319-04693-8_11
Book ISBNs
978-3-31-904692-1, 978-3-31-904693-8
Authors

R. K. Dey, H. S. Panda, A. K. Biswas, B. K. Das

Editors

Srikanta Patnaik, Baojiang Zhong

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