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Advanced Computational Methods for Knowledge Engineering

Overview of attention for book
Cover of '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
Attention for Chapter 36: New Feed Rate Optimization Formulation in a Parametric Domain for 5-Axis Milling Robots
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Chapter title
New Feed Rate Optimization Formulation in a Parametric Domain for 5-Axis Milling Robots
Chapter number 36
Book title
Advanced Computational Methods for Knowledge Engineering
Published in
Advances in Intelligent Systems and Computing, December 2019
DOI 10.1007/978-3-030-38364-0_36
Book ISBNs
978-3-03-038363-3, 978-3-03-038364-0
Authors

Chu Anh My, Duong Xuan Bien, Bui Hoang Tung, Nguyen Van Cong, Le Chi Hieu, Chu, Anh My, Duong, Xuan Bien, Bui, Hoang Tung, Nguyen, Van Cong, Le, Chi Hieu, My, Chu Anh, Bien, Duong Xuan, Tung, Bui Hoang, Van Cong, Nguyen, Hieu, Le Chi

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Computer Science 1 20%
Engineering 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2020.
All research outputs
#23,324,704
of 25,992,468 outputs
Outputs from Advances in Intelligent Systems and Computing
#1
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Outputs of similar age
#412,458
of 482,958 outputs
Outputs of similar age from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 of them.
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