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Advances in Soft Computing

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Cover of 'Advances in Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 LSTM Classification under Changes in Sequences Order
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    Chapter 2 Speaker Identification Using Entropygrams and Convolutional Neural Networks
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    Chapter 3 Convolutional Neural Networks with Hebbian-Based Rules in Online Transfer Learning
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    Chapter 4 A Multiresolution Machine Learning Technique to Identify Exoplanets
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    Chapter 5 Outliers Detection in Multi-label Datasets
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    Chapter 6 Implementation of a SVM on an Embedded System: A Case Study on Fall Detection
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    Chapter 7 Click Event Sound Detection Using Machine Learning in Automotive Industry
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    Chapter 8 Convolutional Neural Network for Classification of Diabetic Retinopathy Grade
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    Chapter 9 Classifiers Ensemble of HMM and d-Vectors in Biometric Speaker Verification
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    Chapter 10 Reducing the Risk of Premature Birth Through an Expert System Based on a Neural Network
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    Chapter 11 Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning
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    Chapter 12 Automated Characterization and Prediction of Wind Conditions Using Gaussian Mixtures
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    Chapter 13 A Survey on Freezing of Gait Detection and Prediction in Parkinson’s Disease
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    Chapter 14 ZeChipC: Time Series Interpolation Method Based on Lebesgue Sampling
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    Chapter 15 Machine Leaning Based Urdu Language Tutor for Primary School Students
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    Chapter 16 Selection Schemes Analysis in Genetic Algorithms for the Maximum Influence Problem
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    Chapter 17 A Comparative Analysis of Evolutionary Learning in Artificial Hydrocarbon Networks
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    Chapter 18 Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach
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    Chapter 19 An NSGA-III-Based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures
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    Chapter 20 The Improvement Direction Mapping Method
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    Chapter 21 A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem
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    Chapter 22 A Genetic Algorithm Approach for a Truck and Trailer Routing Problem in a Loading/Unloading Bays Application
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    Chapter 23 A Tensor-Based Markov Decision Process Representation
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    Chapter 24 Object-Based Goal Recognition Using Real-World Data
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    Chapter 25 Comparing Multi-issue Multi-lateral Negotiation Approaches for Group Recommendation
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    Chapter 26 Guidance in the Visual Analytics of Cartographic Images in the Decision-Making Process
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    Chapter 27 Risk Sensitive Markov Decision Process for Portfolio Management
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    Chapter 28 Risk-Sensitive Piecewise-Linear Policy Iteration for Stochastic Shortest Path Markov Decision Processes
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    Chapter 29 Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation
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    Chapter 30 How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas
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    Chapter 31 How Powersets of Individual Fuzzy Sets Can Be Defined?
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    Chapter 32 Datacenter Selection in Cloud Framework for Efficient Load Distribution Using a Fuzzy Approach
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    Chapter 33 A Linear Time Algorithm for Counting #2SAT on Series-Parallel Formulas
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    Chapter 34 Zone Specific Index Based Model for Data Storage Identification in Search Query Processing
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    Chapter 35 Exploitation of Deaths Registry in Mexico to Estimate the Total Deaths by Influenza Virus: A Preparation to Estimate the Advancement of COVID-19
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    Chapter 36 Application of Expert Systems and Simulation Modeling to Calculate Connectivity Between the Nodes of the Graph
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    Chapter 37 Generation of Pseudo-random Numbers Based on Network Traffic
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Title
Advances in Soft Computing
Published by
Springer International Publishing, November 2020
DOI 10.1007/978-3-030-60884-2
ISBNs
978-3-03-060883-5, 978-3-03-060884-2
Editors

Martínez-Villaseñor, Lourdes, Herrera-Alcántara, Oscar, Ponce, Hiram, Castro-Espinoza, Félix A.

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