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Robust Intelligent Systems

Overview of attention for book
Cover of 'Robust Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Robustness in Digital Hardware
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    Chapter 2 Multiagent-Based Fault Tolerance Management for Robustness
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    Chapter 3 A Two-Level Robustness Model for Self-Managing Software Systems
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    Chapter 4 Robustness in Network Protocols and Distributed Applications of the Internet
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    Chapter 5 Detecting Danger: The Dendritic Cell Algorithm
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    Chapter 6 Non-invasive Brain-Computer Interfaces for Semi-autonomous Assistive Devices
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    Chapter 7 Robust Learning of High-dimensional Biological Networks with Bayesian Networks
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    Chapter 8 Robustness in Nature as a Design Principle for Artificial Intelligence
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    Chapter 9 Feedback Structures as a Key Requirement for Robustness: Case Studies in Image Processing
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    Chapter 10 Exploiting Motor Modules in Modular Contexts in Humanoid Robotics
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    Chapter 11 Robustness as Key to Success for Space Missions
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    Chapter 12 Robust and Automated Space System Design
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    Chapter 13 Robust Bio-regenerative Life Support Systems Control
Attention for Chapter 13: Robust Bio-regenerative Life Support Systems Control
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Citations

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Readers on

mendeley
3 Mendeley
Summary Dimensions citations
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Chapter title
Robust Bio-regenerative Life Support Systems Control
Chapter number 13
Book title
Robust Intelligent Systems
Published in
ADS, January 2008
DOI 10.1007/978-1-84800-261-6_13
Book ISBNs
978-1-84800-260-9, 978-1-84800-261-6
Authors

Jordi Duatis, Cecilio Angulo, Vicenç Puig, Pere Ponsa

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%

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