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Advanced Topics on Computer Vision, Control and Robotics in Mechatronics

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Cover of 'Advanced Topics on Computer Vision, Control and Robotics in Mechatronics'

Table of Contents

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    Book Overview
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    Chapter 1 Denoising of Ultrasound Medical Images Using the DM6437 High-Performance Digital Media Processor
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    Chapter 2 Morphological Neural Networks with Dendritic Processing for Pattern Classification
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    Chapter 3 Mobile Augmented Reality Prototype for the Manufacturing of an All-Terrain Vehicle
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    Chapter 4 Feature Selection for Pattern Recognition: Upcoming Challenges
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    Chapter 5 Overview of Super-resolution Techniques
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    Chapter 6 Learning in Biologically Inspired Neural Networks for Robot Control
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    Chapter 7 Force and Position Fuzzy Control: A Case Study in a Mitsubishi PA10-7CE Robot Arm
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    Chapter 8 Modeling and Motion Control of the 6-3- P US-Type Hexapod Parallel Mechanism
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    Chapter 9 A Finite-Time Nonlinear PID Set-Point Controller for a Parallel Manipulator
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    Chapter 10 Robust Control of a 3-DOF Helicopter with Input Dead-Zone
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    Chapter 11 Mechatronic Integral Ankle Rehabilitation System: Ankle Rehabilitation Robot, Serious Game, and Facial Expression Recognition System
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    Chapter 12 Cognitive Robotics: The New Challenges in Artificial Intelligence
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    Chapter 13 Applications of Haptic Systems in Virtual Environments: A Brief Review
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    Chapter 14 Experimental Analysis of a 3-DOF Articulated Flat Empennage
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    Chapter 15 Consensus Strategy Applied to Differential Mobile Robots with Regulation Control and Trajectory Tracking
Attention for Chapter 2: Morphological Neural Networks with Dendritic Processing for Pattern Classification
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Summary
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Chapter title
Morphological Neural Networks with Dendritic Processing for Pattern Classification
Chapter number 2
Book title
Advanced Topics on Computer Vision, Control and Robotics in Mechatronics
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-77770-2_2
Book ISBNs
978-3-31-977769-6, 978-3-31-977770-2
Authors

Humberto Sossa, Fernando Arce, Erik Zamora, Elizabeth Guevara

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Engineering 2 100%

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