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Nature Inspired Problem-Solving Methods in Knowledge Engineering

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Table of Contents

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    Book Overview
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    Chapter 1 High Performance Implementation of an FPGA-Based Sequential DT-CNN
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    Chapter 2 HANNA: A Tool for Hardware Prototyping and Benchmarking of ANNs
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    Chapter 3 Improvement of ANNs Performance to Generate Fitting Surfaces for Analog CMOS Circuits
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    Chapter 4 Wavelet Network for Nonlinearities Reduction in Multicarrier Systems
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    Chapter 5 Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function
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    Chapter 6 Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt
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    Chapter 7 Normalising Brain PET Images
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    Chapter 8 Automatic Segmentation of Single and Multiple Neoplastic Hepatic Lesions in CT Images
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    Chapter 9 Biometric and Color Features Fusion for Face Detection and Tracking in Natural Video Sequences
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    Chapter 10 Identifying Major Components of Pictures by Audio Encoding of Colours
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    Chapter 11 Towards a Semi-automatic Situation Diagnosis System in Surveillance Tasks
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    Chapter 12 An Implementation of a General Purpose Attentional Mechanism for Artificial Organisms
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    Chapter 13 Optimal Cue Combination for Saliency Computation: A Comparison with Human Vision
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    Chapter 14 The Underlying Formal Model of Algorithmic Lateral Inhibition in Motion Detection
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    Chapter 15 Novel Strategies for the Optimal Registration of Biomedical Images
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    Chapter 16 Characterization of Artificial Muscles Using Image Processing
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    Chapter 17 Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles
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    Chapter 18 A Support Vector Method for Estimating Joint Density of Medical Images
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    Chapter 19 Segmentation of Moving Objects with Information Feedback Between Description Levels
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    Chapter 20 Knowledge-Based Road Traffic Monitoring
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    Chapter 21 Comparison of Classifiers for Human Activity Recognition
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    Chapter 22 A Multi-robot Surveillance System Simulated in Gazebo
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    Chapter 23 Context Data to Improve Association in Visual Tracking Systems
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    Chapter 24 Automatic Control of Video Surveillance Camera Sabotage
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    Chapter 25 Complex Permittivity Estimation by Bio-inspired Algorithms for Target Identification Improvement
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    Chapter 26 Context Information for Human Behavior Analysis and Prediction
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    Chapter 27 Road Sign Analysis Using Multisensory Data
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    Chapter 28 Video Tracking Association Problem Using Estimation of Distribution Algorithms in Complex Scenes
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    Chapter 29 Context Information for Understanding Forest Fire Using Evolutionary Computation
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    Chapter 30 Feed-Forward Learning: Fast Reinforcement Learning of Controllers
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    Chapter 31 An Adaptive Michigan Approach PSO for Nearest Prototype Classification
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    Chapter 32 Behavioural Modeling by Clustering Based on Utility Measures
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    Chapter 33 Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem
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    Chapter 34 Solving Dial-a-Ride Problems with a Low-Level Hybridization of Ants and Constraint Programming
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    Chapter 35 Profitability Comparison Between Gas Turbines and Gas Engine in Biomass-Based Power Plants Using Binary Particle Swarm Optimization
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    Chapter 36 Combining the Best of the Two Worlds: Inheritance Versus Experience
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    Chapter 37 Towards the Automatic Learning of Reflex Modulation for Mobile Robot Navigation
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    Chapter 38 Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
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    Chapter 39 Discretization of ISO-Learning and ICO-Learning to Be Included into Reactive Neural Networks for a Robotics Simulator
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    Chapter 40 Towards Automatic Camera Calibration Under Changing Lighting Conditions Through Fuzzy Rules
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    Chapter 41 Social Interaction in Robotic Agents Emulating the Mirror Neuron Function
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    Chapter 42 Integration of Stereoscopic and Perspective Cues for Slant Estimation in Natural and Artificial Systems
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    Chapter 43 An Approach to Visual Scenes Matching with Curvilinear Regions
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    Chapter 44 Supervised dFasArt: A Neuro-fuzzy Dynamic Architecture for Maneuver Detection in Road Vehicle Collision Avoidance Support Systems
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    Chapter 45 Neuro-fuzzy Based Maneuver Detection for Collision Avoidance in Road Vehicles
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    Chapter 46 The Coevolution of Robot Behavior and Central Action Selection
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    Chapter 47 WiSARD and NSP for Robot Global Localization
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    Chapter 48 Design and Implementation of an Adaptive Neuro-controller for Trajectory Tracking of Nonholonomic Wheeled Mobile Robots
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    Chapter 49 Sharing Gaze Control in a Robotic System
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    Chapter 50 An AER-Based Actuator Interface for Controlling an Anthropomorphic Robotic Hand
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    Chapter 51 Tackling the Error Correcting Code Problem Via the Cooperation of Local-Search-Based Agents
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    Chapter 52 Strategies for Affect-Controlled Action-Selection in Soar-RL
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    Chapter 53 An Agent-Based Decision Support System for Ecological-Medical Situation Analysis
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    Chapter 54 A Meta-ontological Framework for Multi-agent Systems Design
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    Chapter 55 Design of an Agent-Based System for Passenger Transportation Using PASSI
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    Chapter 56 The INGENIAS Methodology for Advanced Surveillance Systems Modelling
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    Chapter 57 Propos : A Dynamic Web Tool for Managing Possibilistic and Probabilistic Temporal Constraint Networks
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    Chapter 58 BIRD: Biomedical Information Integration and Discovery with Semantic Web Services
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    Chapter 59 Neural Networks to Predict Schooling Failure/Success
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    Chapter 60 Application of Genetic Algorithms for Microwave Oven Design: Power Efficiency Optimization
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    Chapter 61 Application of Neural Networks to Atmospheric Pollutants Remote Sensing
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    Chapter 62 Air Pollutant Level Estimation Applying a Self-organizing Neural Network
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    Chapter 63 Application of Genetic Algorithms in the Determination of Dielectric Properties of Materials at Microwave Frequencies
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    Chapter 64 Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools
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    Chapter 65 A Preliminary Neural Model for Movement Direction Recognition Based on Biologically Plausible Plasticity Rules
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    Chapter 66 Classification of Biomedical Signals Using a Haar 4 Wavelet Transform and a Hamming Neural Network
Overall attention for this book and its chapters
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Mentioned by

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1 patent

Citations

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Readers on

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27 Mendeley
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Title
Nature Inspired Problem-Solving Methods in Knowledge Engineering
Published by
Springer Berlin Heidelberg, January 2007
DOI 10.1007/978-3-540-73055-2
ISBNs
978-3-54-073054-5, 978-3-54-073055-2
Editors

Mira, José, Álvarez, José R.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Portugal 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Professor 4 15%
Researcher 3 11%
Other 3 11%
Lecturer > Senior Lecturer 2 7%
Other 7 26%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 10 37%
Engineering 6 22%
Arts and Humanities 2 7%
Social Sciences 2 7%
Business, Management and Accounting 1 4%
Other 4 15%
Unknown 2 7%