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Bio-inspired Information and Communication Technologies

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Cover of 'Bio-inspired Information and Communication Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Cheating the Beta Cells to Delay the Beginning of Type-2 Diabetes Through Artificial Segregation of Insulin
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    Chapter 2 Physics-Based Nanomedicine to Alleviate Anomalous Events in the Human Kidney
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    Chapter 3 Bio-inspired System Identification Attacks in Noisy Networked Control Systems
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    Chapter 4 Bio-inspired Approach to Thwart Against Insider Threats: An Access Control Policy Regulation Framework
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    Chapter 5 Blinded by Biology: Bio-inspired Tech-Ontologies in Cognitive Brain Sciences
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    Chapter 6 A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms
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    Chapter 7 Classification of Permutation Distance Metrics for Fitness Landscape Analysis
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    Chapter 8 Medical Diagnostics Based on Encrypted Medical Data
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    Chapter 9 Evolutionary Multi-objective Optimization for Evolving Soft Robots in Different Environments
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    Chapter 10 Field Coverage for Weed Mapping: Toward Experiments with a UAV Swarm
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    Chapter 11 Self-Assembly from a Single-Molecule Perspective
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    Chapter 12 Cyber Regulatory Networks: Towards a Bio-inspired Auto-resilient Framework for Cyber-Defense
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    Chapter 13 Space Partitioning and Maze Solving by Bacteria
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    Chapter 14 A Scalable Parallel Framework for Multicellular Communication in Bacterial Quorum Sensing
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    Chapter 15 Membrane Computing Aggregation (MCA): An Upgraded Framework for Transition P-Systems
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Title
Bio-inspired Information and Communication Technologies
Published by
Springer International Publishing, September 2019
DOI 10.1007/978-3-030-24202-2
ISBNs
978-3-03-024201-5, 978-3-03-024202-2
Editors

Compagnoni, Adriana, Casey, William, Cai, Yang, Mishra, Bud

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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 3 100%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Biochemistry, Genetics and Molecular Biology 1 33%
Physics and Astronomy 1 33%