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Soft Computing in Industrial Applications

Overview of attention for book
Cover of 'Soft Computing in Industrial Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Advanced Methods for 3D Magnetic Localization in Industrial Process Distributed Data-Logging with a Sparse Distance Matrix
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    Chapter 2 Neural Network Ensemble Based on Feature Selection for Non-Invasive Recognition of Liver Fibrosis Stage
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    Chapter 3 Cooperative and Non-cooperative Equilibrium Problems with Equilibrium Constraints: Applications in Economics and Transportation
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    Chapter 4 Statistical Genetic Programming: The Role of Diversity
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    Chapter 5 Breast MRI Tumour Segmentation Using Modified Automatic Seeded Region Growing Based on Particle Swarm Optimization Image Clustering
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    Chapter 6 Differential Evolution and Tabu Search to Find Multiple Solutions of Multimodal Optimization Problems
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    Chapter 7 A New RBFNDDA-KNN Network and Its Application to Medical Pattern Classification
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    Chapter 8 An Approach to Fuzzy Modeling of Anti-lock Braking Systems
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    Chapter 9 An Improved Evolutionary Algorithm to Sequence Operations on an ASRS Warehouse
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    Chapter 10 Fuzzy Reliability Analysis of Washing Unit in a Paper Plant Using Soft-Computing Based Hybridized Techniques
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    Chapter 11 Multi-objective Algorithms for the Single Machine Scheduling Problem with Sequence-dependent Family Setups
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    Chapter 12 Multi-Sensor Soft-Computing System for Driver Drowsiness Detection
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    Chapter 13 A New Evolving Tree for Text Document Clustering and Visualization
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    Chapter 14 Brain–Computer Interface Based on Motor Imagery: The Most Relevant Sources of Electrical Brain Activity
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    Chapter 15 A Single Input Rule Modules Connected Fuzzy FMEA Methodology for Edible Bird Nest Processing
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    Chapter 16 A Novel Energy-Efficient and Distance-Based Clustering Approach for Wireless Sensor Networks
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    Chapter 17 Characterization of Coronary Plaque by Using 2D Frequency Histogram of RF Signal
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    Chapter 18 Face Recognition Using Convolutional Neural Network and Simple Logistic Classifier
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    Chapter 19 Continuous Features Discretization for Anomaly Intrusion Detectors Generation
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    Chapter 20 Visualisation of High Dimensional Data by Use of Genetic Programming: Application to On-line Infrared Spectroscopy Based Process Monitoring
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    Chapter 21 Radial Basis Artificial Neural Network Models for Predicting Solubility Index of Roller Dried Goat Whole Milk Powder
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    Chapter 22 Online Prediction of Wear on Rolls of a Bar Rolling Mill Based on Semi-Analytical Equations and Artificial Neural Networks
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    Chapter 23 Real-Time Analysis of Non-stationary and Complex Network Related Data for Injection Attempts Detection
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    Chapter 24 Recommending People to Follow Using Asymmetric Factor Models with Social Graphs
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    Chapter 25 Air Travel Demand Fuzzy Modelling: Trip Generation and Trip Distribution
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    Chapter 26 Design of Priority Transportation Corridor Under Uncertainty
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    Chapter 27 Application of Data Fusion for Route Choice Modelling by Route Choice Driving Simulator
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    Chapter 28 Sustainability Evaluation of Transportation Policies: A Fuzzy-Based Method in a “What to” Analysis
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    Chapter 29 Artificial Bee Colony-Based Algorithm for Optimising Traffic Signal Timings
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    Chapter 30 Use of Fuzzy Logic Traffic Signal Control Approach as Dual Lane Ramp Metering Model for Freeways
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    Chapter 31 The Variable Neighborhood Search Heuristic for the Containers Drayage Problem with Time Windows
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    Chapter 32 Solving the Team Orienteering Problem: Developing a Solution Tool Using a Genetic Algorithm Approach
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    Chapter 33 Use of Fuzzy Optimization and Linear Goal Programming Approaches in Urban Bus Lines Organization
Overall attention for this book and its chapters
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Soft Computing in Industrial Applications
Published by
Springer International Publishing, November 2013
DOI 10.1007/978-3-319-00930-8
978-3-31-900929-2, 978-3-31-900930-8

Snášel, Václav, Krömer, Pavel, Köppen, Mario, Schaefer, Gerald

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 13%
Student > Bachelor 3 13%
Professor 3 13%
Researcher 3 13%
Student > Master 2 9%
Other 2 9%
Unknown 7 30%
Readers by discipline Count As %
Computer Science 10 43%
Engineering 4 17%
Mathematics 1 4%
Unknown 8 35%