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Computational Science and Its Applications – ICCSA 2019

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Cover of 'Computational Science and Its Applications – ICCSA 2019'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Variant of the George-Liu Algorithm
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    Chapter 2 Numerical Solution of Nonlinear Cross Diffusion Problems
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    Chapter 3 An Experimental Analysis of Heuristics for Profile Reduction
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    Chapter 4 Computational Peculiarities of the Method of Initial Functions
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    Chapter 5 Clustering Data Streams: A Complex Network Approach
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    Chapter 6 Normalized Gain and Least Squares to Measure of the Effectiveness of a Physics Course
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    Chapter 7 A Model to Study the Strange Quark $$s-\bar{s}$$ Asymmetry in Nucleon Sea
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    Chapter 8 Economical Sixth Order Runge–Kutta Method for Systems of Ordinary Differential Equations
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    Chapter 9 Dynamic Public Transit Labeling
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    Chapter 10 Mobile Localization Techniques Oriented to Tangible Web
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    Chapter 11 Influence of Drivers’ Behavior on Traffic Flow at Two Roads Intersection
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    Chapter 12 Quantify Physiologic Interactions Using Network Analysis
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    Chapter 13 Effects in the Algorithm Performance from Problem Structure, Searching Behavior and Temperature: A Causal Study Case for Threshold Accepting and Bin-Packing
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    Chapter 14 Towards the Adaptation of an Active Measurement Protocol for Delay/Disruption-Tolerant Networking
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    Chapter 15 A Proposal for IP Spoofing Mitigation at Origin in Homenet Using Software-Defined Networking
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    Chapter 16 Parallel OpenMP and CUDA Implementations of the N -Body Problem
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    Chapter 17 Minimizing the Energy of a Quad Rotor in Free Final Time Using Bocop Software
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    Chapter 18 Modeling Energy Consumption Based on Resource Utilization
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    Chapter 19 Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring
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    Chapter 20 A Knowledge-Based Computational Environment for Real-World Data Processing
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    Chapter 21 Adaptive Hierarchical Mesh Detail Mapping and Deformation
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    Chapter 22 Multithreading in Laser Scanning Data Processing
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    Chapter 23 Airborne Object Detection Using Hyperspectral Imaging: Deep Learning Review
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    Chapter 24 A New Strategy for Scattered Data Approximation Using Radial Basis Functions Respecting Points of Inflection
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    Chapter 25 Efficient Simple Large Scattered 3D Vector Fields Radial Basis Functions Approximation Using Space Subdivision
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    Chapter 26 Human Action Recognition Using Convolutional Neural Networks with Symmetric Time Extension of Visual Rhythms
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    Chapter 27 Simple and Fast O exp (N) Algorithm for Finding an Exact Maximum Distance in E 2 Instead of O(N^2) or O(N lgN)
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    Chapter 28 A Machine Learning Approach to the Early Diagnosis of Alzheimer’s Disease Based on an Ensemble of Classifiers
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    Chapter 29 Low Bit Rate 2D Seismic Image Compression with Deep Autoencoders
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    Chapter 30 Application of Artificial Intelligence Methods in Sustainable Building Design
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    Chapter 31 Method of Comprehensive Estimation of Natural and Anthropogenic Territory Safety in the Case of Krasnoyarsk Region
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    Chapter 32 Investigation of the Hydraulic Unit Operation Features Based on Vibration System Data Mining
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    Chapter 33 The Use of Spaceborne and Oceanic Sensors to Model Dengue Incidence in the Outbreak Surveillance System
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    Chapter 34 Anomaly Detection with Machine Learning Technique to Support Smart Logistics
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    Chapter 35 Educational Data Mining: A Profile Analysis of Brazilian Students
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    Chapter 36 The Pollicina Project: A Social Learning Management System to Create Personalized Cultural Itineraries
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    Chapter 37 Use of AHP and Promethee for Research Project Portfolio Selection
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    Chapter 38 A Two-Phase Bug Localization Approach Based on Multi-layer Perceptrons and Distributional Features
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    Chapter 39 Development of a Technological Platform for Knowledge Discovery
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    Chapter 40 Integration of Fuzzy OWL Ontologies and Fuzzy Time Series in the Determination of Faulty Technical Units
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    Chapter 41 Usage of Multiple RTL Features for Earthquakes Prediction
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    Chapter 42 Privacy vs. Utility: An Enhanced K-coRated
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    Chapter 43 Polarity Classification of Tweets Considering the Poster’s Emotional Change by a Combination of Naive Bayes and LSTM
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    Chapter 44 Investigating Cyclic Visit Pattern of Mobility Through Analysis of Geopositioning Data
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    Chapter 45 Finding the Best Location for Logistics Hub Based on Actual Parcel Delivery Data
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    Chapter 46 Ensuring the Consistency Between User Requirements and Graphical User Interfaces: A Behavior-Based Automated Approach
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    Chapter 47 Applying a Multilayer Perceptron for Traffic Flow Prediction to Empower a Smart Ecosystem
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    Chapter 48 An Approach for Improving Automatic Mouth Emotion Recognition
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    Chapter 49 Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks
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    Chapter 50 Equid—A Static Analysis Framework for Industrial Applications
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    Chapter 51 Metalanguage and Knowledgebase for Kazakh Morphology
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    Chapter 52 A Bayesian Information Criterion for Unsupervised Learning Based on an Objective Prior
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    Chapter 53 Methods for Analyzing Polarity of the Kazakh Texts Related to the Terrorist Threats
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    Chapter 54 Evaluation of Bio-Inspired Algorithms in Cluster-Based Kriging Optimization
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    Chapter 55 Matching Ontologies with Word2Vec-Based Neural Network
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    Chapter 56 Improving the Performance of an Integer Linear Programming Community Detection Algorithm Through Clique Filtering
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    Chapter 57 Dealing with Uncertainty in Software Architecture on the Internet-of-Things with Digital Twins
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    Chapter 58 A Big-Data-Analytics System for Supporting Decision Making Processes in Complex Smart-City Applications
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    Chapter 59 Binomial Characterization of Cryptographic Sequences
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    Chapter 60 Supply Chain Simulation in a Big Data Context: Risks and Uncertainty Analysis
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    Chapter 61 Text Classification for Italian Proficiency Evaluation
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Title
Computational Science and Its Applications – ICCSA 2019
Published by
Springer International Publishing, September 2019
DOI 10.1007/978-3-030-24289-3
ISBNs
978-3-03-024288-6, 978-3-03-024289-3
Editors

Misra, Sanjay, Gervasi, Osvaldo, Murgante, Beniamino, Stankova, Elena, Korkhov, Vladimir, Torre, Carmelo, Rocha, Ana Maria A.C., Taniar, David, Apduhan, Bernady O., Tarantino, Eufemia

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The data shown below were collected from the profiles of 5 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Lecturer 3 17%
Student > Bachelor 2 11%
Student > Doctoral Student 1 6%
Other 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Engineering 7 39%
Computer Science 4 22%
Agricultural and Biological Sciences 1 6%
Physics and Astronomy 1 6%
Business, Management and Accounting 1 6%
Other 0 0%
Unknown 4 22%