Advanced Computational Methods for Knowledge Engineering

Table of Contents

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   Book Overview
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   Chapter 1 A New Efficient Algorithm for Maximizing the Profit and the Compactness in Land Use Planing Problem
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   Chapter 2 A New Solution Method for a Mean-Risk Mixed Integer Nonlinear Program in Transportation Network Protection
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   Chapter 3 A Novel Approach for Travel Time Optimization in Single-Track Railway Networks
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   Chapter 4 DCA with Successive DC Decomposition for Convex Piecewise-Linear Fitting
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   Chapter 5 Solving Efficient Target-Oriented Scheduling in Directional Sensor Networks by DCA
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   Chapter 6 A Combination of CMAES-APOP Algorithm and Quasi-Newton Method
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   Chapter 7 A Triple Stabilized Bundle Method for Constrained Nonconvex Nonsmooth Optimization
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   Chapter 8 An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables
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    Chapter 9 Numerical Technologies for Investigating Optimal Control Problems with Free Right-Hand End of Trajectories
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    Chapter 10 A Genetic Algorithm Approach for Scheduling Trains Maintenance Under Uncertainty
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    Chapter 11 eDTWBI: Effective Imputation Method for Univariate Time Series
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    Chapter 12 Reweighted $$\ell _1$$ ℓ 1 Algorithm for Robust Principal Component Analysis
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    Chapter 13 A Probability-Based Close Domain Metric in Lifelong Learning for Multi-label Classification
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    Chapter 14 Applying MASI Algorithm to Improve the Classification Performance of Imbalanced Data in Fraud Detection
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    Chapter 15 Learning Rough Set Based Classifiers Using Boolean Kernels
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    Chapter 16 Using Support Vector Machine to Monitor Behavior of an Object Based WSN System
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    Chapter 17 Stacking of SVMs for Classifying Intangible Cultural Heritage Images
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    Chapter 18 Assessment of the Water Area in the Lowland Region of the Mekong River Using MODIS EVI Time Series
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    Chapter 19 Palmprint Recognition Using Discriminant Local Line Directional Representation
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    Chapter 20 Speech Assessment Based on Entropy and Similarity Measures
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    Chapter 21 Deep Clustering with Spherical Distance in Latent Space
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    Chapter 22 A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting
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    Chapter 23 Fusing of Deep Learning, Transfer Learning and GAN for Breast Cancer Histopathological Image Classification
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    Chapter 24 Attentive biLSTMs for Understanding Students’ Learning Experiences
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    Chapter 25 Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks
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    Chapter 26 An Intensive Empirical Study of Machine Learning Algorithms for Predicting Vietnamese Stock Prices
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    Chapter 27 Improvement of Production Layout in the Furniture Industry in Indonesia with the Concept of Group Technology
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    Chapter 28 Reinforcement Learning in Stock Trading
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    Chapter 29 A Survey on Forecasting Models for Preventing Terrorism
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    Chapter 30 On the Design of a Privacy Preserving Collaborative Platform for Cybersecurity
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    Chapter 31 Secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding
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    Chapter 32 An Improvement of Applying Multi-objective Optimization Algorithm into Higher Order Mutation Testing
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    Chapter 33 Belief Merging for Possibilistic Belief Bases
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    Chapter 34 Discrete Time Sliding Mode Control of Milling Chatter
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    Chapter 35 Efficient Processing of Recursive Joins on Large-Scale Datasets in Spark
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    Chapter 36 New Feed Rate Optimization Formulation in a Parametric Domain for 5-Axis Milling Robots
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    Chapter 37 Opensource Based IoT Platform and LoRa Communications with Edge Device Calibration for Real-Time Monitoring Systems