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Handbook of Nature-Inspired and Innovative Computing

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Cover of 'Handbook of Nature-Inspired and Innovative Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Changing Challenges for Collaborative Algorithmics
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    Chapter 2 Arm++: A Hybrid Association Rule Mining Algorithm
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    Chapter 3 Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems
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    Chapter 4 Evolutionary Paradigms
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    Chapter 5 Artificial Neural Networks
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    Chapter 6 Swarm Intelligence
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    Chapter 7 Fuzzy Logic
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    Chapter 8 Quantum Computing
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    Chapter 9 Computer Architecture
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    Chapter 10 A Glance at VLSI Optical Interconnects: from the Abstract Modelings of the 1980s to Today’s MEMS Implementations (A Survey Report)
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    Chapter 11 Morphware and Configware
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    Chapter 12 Evolving Hardware
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    Chapter 13 Implementing Neural Models in Silicon
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    Chapter 14 Handbook of Nature-Inspired and Innovative Computing
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    Chapter 15 Trends in High-Performance Computing
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    Chapter 16 Cluster Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers
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    Chapter 17 Handbook of Nature-Inspired and Innovative Computing
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    Chapter 18 Predicting Grid Resource Performance Online
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    Chapter 19 Pervasive Computing: Enabling Technologies and Challenges
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    Chapter 20 Information Display
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    Chapter 21 Bioinformatics
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    Chapter 22 Noise in Foreign Exchange Markets
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mendeley
57 Mendeley
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Title
Handbook of Nature-Inspired and Innovative Computing
Published by
Springer US, January 2006
DOI 10.1007/0-387-27705-6
ISBNs
978-0-387-40532-2, 978-0-387-27705-9
Editors

Zomaya, Albert Y.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Mexico 1 2%
New Zealand 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Student > Bachelor 10 18%
Student > Master 7 12%
Researcher 6 11%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 10 18%
Readers by discipline Count As %
Computer Science 20 35%
Engineering 13 23%
Agricultural and Biological Sciences 3 5%
Chemical Engineering 3 5%
Physics and Astronomy 2 4%
Other 5 9%
Unknown 11 19%