Advances in Soft Computing

Table of Contents

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   Book Overview
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   Chapter 1 Versatility of Artificial Hydrocarbon Networks for Supervised Learning
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   Chapter 2 Human Activity Recognition on Mobile Devices Using Artificial Hydrocarbon Networks
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   Chapter 3 Road Perspective Depth Reconstruction from Single Images Using Reduce-Refine-Upsample CNNs
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   Chapter 4 Fast Learning for Accurate Object Recognition Using a Pre-trained Deep Neural Network
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   Chapter 5 Introducing a Classification Model Based on SVM for Network Intrusion Detection
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   Chapter 6 On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms
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   Chapter 7 An Evolutive Scoring Method for Cloud Computing Provider Selection Based on Performance Indicators
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   Chapter 8 A Fast and Efficient Method for #2SAT via Graph Transformations
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    Chapter 9 AL-DDoS Attack Detection Optimized with Genetic Algorithms
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    Chapter 10 A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem
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    Chapter 11 Extending the Pareto-Dominance Based MOEAs Framework for Overlapping Community Detection
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    Chapter 12 New Advances in the Development of a Thermodynamic Equilibrium-Inspired Metaheuristic
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    Chapter 13 Comparative Analysis of MOGBHS with Other State-of-the-Art Algorithms for Multi-objective Optimization Problems
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    Chapter 14 Global Maximum Power Point Tracking Based on Intelligent Approach for Photovoltaic System Under Partial Shading Conditions
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    Chapter 15 Automatic Closed Modeling of Multiple Variable Systems Using Soft Computation
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    Chapter 16 Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers
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    Chapter 17 A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges
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    Chapter 18 A Fuzzy-Based Approach for Selecting Technically Qualified Distributed Software Development Teams
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    Chapter 19 Smart Selection of Materials for Product Prototype Fabrication
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    Chapter 20 A Comparative Study of Harmony Search Algorithms for Improving the Training Process of Extreme Learning Machines
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    Chapter 21 A Survey of Machine Learning Approaches for Age Related Macular Degeneration Diagnosis and Prediction
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    Chapter 22 Outliers and the Simpson’s Paradox
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    Chapter 23 Full Model Selection in Big Data
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    Chapter 24 A Case-Based Reasoning Framework for Clinical Decision Making
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    Chapter 25 The Use of Artificial Intelligence for the Intrusion Detection System in Computer Networks
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    Chapter 26 Jeffrey Divergence Applied to Docking Virtual
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    Chapter 27 Towards a Classification of Binary Similarity Measures
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    Chapter 28 Ranking Association Rules by Clustering Through Interestingness
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    Chapter 29 An Approach for Automatic Discovery, Composition and Invocation of Semantics Web Services for Data Mining