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Computational Science – ICCS 2020

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Cover of 'Computational Science – ICCS 2020'

Table of Contents

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    Book Overview
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    Chapter 1 A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication
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    Chapter 2 Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction
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    Chapter 3 Strategic Use of Data Assimilation for Dynamic Data-Driven Simulation
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    Chapter 4 PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation
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    Chapter 5 Cyber Attribution from Topological Patterns
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    Chapter 6 Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Model
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    Chapter 7 Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms
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    Chapter 8 Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method
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    Chapter 9 Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach
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    Chapter 10 Learning Ergodic Averages in Chaotic Systems
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    Chapter 11 Supermodeling: The Next Level of Abstraction in the Use of Data Assimilation
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    Chapter 12 A New Multilayer Network Construction via Tensor Learning
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    Chapter 13 Neural Assimilation
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    Chapter 14 A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities
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    Chapter 15 Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network
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    Chapter 16 Accelerated Gaussian Convolution in a Data Assimilation Scenario
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    Chapter 17 On the Complementary Role of Data Assimilation and Machine Learning: An Example Derived from Air Quality Analysis
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    Chapter 18 Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering
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    Chapter 19 Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data
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    Chapter 20 High Accuracy Terrain Reconstruction from Point Clouds Using Implicit Deformable Model
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    Chapter 21 Solving Non-linear Elasticity Problems by a WLS High Order Continuation
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    Chapter 22 Advanced Radial Basis Functions Mesh Morphing for High Fidelity Fluid-Structure Interaction with Known Movement of the Walls: Simulation of an Aortic Valve
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    Chapter 23 Radial Basis Functions Mesh Morphing
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    Chapter 24 Radial Basis Function Approximation Optimal Shape Parameters Estimation
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    Chapter 25 Projective Integration for Moment Models of the BGK Equation
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    Chapter 26 Open Boundary Modeling in Molecular Dynamics with Machine Learning
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    Chapter 27 Microtubule Biomechanics and the Effect of Degradation of Elastic Moduli
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    Chapter 28 Formation of Morphogenetic Patterns in Cellular Automata
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    Chapter 29 Multilevel Monte Carlo with Improved Correlation for Kinetic Equations in the Diffusive Scaling
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    Chapter 30 Development and Application of the Statistically Similar Representative Volume Element for Numerical Modelling of Multiphase Materials
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    Chapter 31 A Heterogeneous Multi-scale Model for Blood Flow
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    Chapter 32 Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources
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    Chapter 33 Easing Multiscale Model Design and Coupling with MUSCLE 3
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    Chapter 34 Simulations of Quantum Finite Automata
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    Chapter 35 "Equation missing" : A Cross-Platform Programming Framework for Quantum-Accelerated Scientific Computing
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    Chapter 36 Generalized Quantum Deutsch-Jozsa Algorithm
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    Chapter 37 Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching
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    Chapter 38 A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games
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    Chapter 39 Hybrid Quantum Annealing Heuristic Method for Solving Job Shop Scheduling Problem
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    Chapter 40 Foundations for Workflow Application Scheduling on D-Wave System
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    Chapter 41 A Hybrid Solution Method for the Multi-Service Location Set Covering Problem
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    Chapter 42 New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem
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    Chapter 43 Multi-agent Reinforcement Learning Using Simulated Quantum Annealing
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    Chapter 44 Quantum Hopfield Neural Networks: A New Approach and Its Storage Capacity
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    Chapter 45 A Variational Algorithm for Quantum Neural Networks
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    Chapter 46 Imperfect Distributed Quantum Phase Estimation
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    Chapter 47 Optimal Representation of Quantum Channels
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    Chapter 48 Perturbation of the Numerical Range of Unitary Matrices
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    Chapter 49 Design of Short Codes for Quantum Channels with Asymmetric Pauli Errors
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    Chapter 50 Simulation Methodology for Electron Transfer in CMOS Quantum Dots
Attention for Chapter 18: Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering
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Chapter title
Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering
Chapter number 18
Book title
Computational Science – ICCS 2020
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-50433-5_18
Book ISBNs
978-3-03-050432-8, 978-3-03-050433-5
Authors

Abhishek Subramanian, Li Tan, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas, Subramanian, Abhishek, Tan, Li, Callafon, Raymond A. de, Crawl, Daniel, Altintas, Ilkay

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 %
Researcher 2 40%
Librarian 1 20%
Lecturer 1 20%
Unknown 1 20%
Readers by discipline Count As %
Social Sciences 2 40%
Computer Science 1 20%
Nursing and Health Professions 1 20%
Unknown 1 20%