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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 8: Pseudo-Fractional Tap-Length Learning Based Applied Soft Computing for Structure Adaptation of LMS in High Noise Environment
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