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Multidisciplinary Approaches to Neural Computing

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Cover of 'Multidisciplinary Approaches to Neural Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Redefining Information Processing Through Neural Computing Models
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    Chapter 2 A Neural Approach for Hybrid Events Discrimination at Stromboli Volcano
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    Chapter 3 Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm
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    Chapter 4 Integrating QuickBundles into a Model-Guided Approach for Extracting “Anatomically-Coherent” and “Symmetry-Aware” White Matter Fiber-Bundles
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    Chapter 5 Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach
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    Chapter 6 Effective Blind Source Separation Based on the Adam Algorithm
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    Chapter 7 Depth-Based Hand Pose Recognizer Using Learning Vector Quantization
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    Chapter 8 Correlation Dimension-Based Recognition of Simple Juggling Movements
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    Chapter 9 Cortical Phase Transitions as an Effect of Topology of Neural Network
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    Chapter 10 Human Fall Detection by Using an Innovative Floor Acoustic Sensor
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    Chapter 11 An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals
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    Chapter 12 Privacy-Preserving Data Mining for Distributed Medical Scenarios
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    Chapter 13 Rule Base Reduction Using Conflicting and Reinforcement Measures
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    Chapter 14 An Application of Internet Traffic Prediction with Deep Neural Network
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    Chapter 15 Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data
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    Chapter 16 Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment
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    Chapter 17 A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context
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    Chapter 18 Advanced Neural Networks Systems for Unbalanced Industrial Datasets
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    Chapter 19 Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach
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    Chapter 20 A Neural Network-Based Approach for Steam Turbine Monitoring
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    Chapter 21 A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System
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    Chapter 22 SOM-Based Analysis to Relate Non-uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions
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    Chapter 23 Vision-Based Mapping and Micro-localization of Industrial Components in the Fields of Laser Technology
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    Chapter 24 Artificial Neural Network Analysis and ERP in Intimate Partner Violence
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    Chapter 25 Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals’ Wavelet Coherence
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    Chapter 26 On the Classification of EEG Signal by Using an SVM Based Algorithm
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    Chapter 27 Preprocessing the EEG of Alzheimer’s Patients to Automatically Remove Artifacts
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    Chapter 28 Smell and Meaning: An OERP Study
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    Chapter 29 Automatic Detection of Depressive States from Speech
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    Chapter 30 Effects of Gender and Luminance Backgrounds on the Recognition of Neutral Facial Expressions
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    Chapter 31 Semantic Maps of Twitter Conversations
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    Chapter 32 Preliminary Study on Implications of Cursive Handwriting Learning in Schools
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    Chapter 33 Italian General Elections of 2006 and 2008: Testing the Direct and Indirect Impact of Implicit and Explicit Attitudes on Voting Behaviour
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    Chapter 34 Are the Gambler’s Fallacy or the Hot-Hand Fallacy due to an Erroneous Probability Estimate?
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    Chapter 35 When Intuitive Decisions Making, Based on Expertise, May Deliver Better Results than a Rational, Deliberate Approach
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    Chapter 36 Artificial Entities or Moral Agents? How AI is Changing Human Evolution
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Title
Multidisciplinary Approaches to Neural Computing
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-56904-8
ISBNs
978-3-31-956903-1, 978-3-31-956904-8
Editors

Anna Esposito, Marcos Faudez-Zanuy, Francesco Carlo Morabito, Eros Pasero

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Researcher 6 16%
Student > Bachelor 5 14%
Student > Master 4 11%
Other 1 3%
Other 4 11%
Unknown 10 27%
Readers by discipline Count As %
Computer Science 9 24%
Engineering 8 22%
Arts and Humanities 1 3%
Linguistics 1 3%
Nursing and Health Professions 1 3%
Other 6 16%
Unknown 11 30%