Computational Science – ICCS 2020

Table of Contents

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   Book Overview
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   Chapter 1 Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis
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   Chapter 2 Data Assimilation in Volcano Deformation Using Fast Finite Element Analysis with High Fidelity Model
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   Chapter 3 Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries
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   Chapter 4 The Challenge of Onboard SAR Processing: A GPU Opportunity
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   Chapter 5 High-Resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large-Scale Transport Simulations
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   Chapter 6 Granulation-Based Reverse Image Retrieval for Microscopic Rock Images
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   Chapter 7 Hybrid SWAN for Fast and Efficient Practical Wave Modelling - Part 2
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   Chapter 8 An Agent-Based Simulation of the Spread of Dengue Fever
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    Chapter 9 Hypergraph Grammar-Based Model of Adaptive Bitmap Compression
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    Chapter 10 Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton
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    Chapter 11 Scalable Signal-Based Simulation of Autonomous Beings in Complex Environments
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    Chapter 12 Design of Loss Functions for Solving Inverse Problems Using Deep Learning
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    Chapter 13 Asynchronous Actor-Based Approach to Multiobjective Hierarchical Strategy
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    Chapter 14 MeshingNet: A New Mesh Generation Method Based on Deep Learning
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    Chapter 15 A Block Preconditioner for Scalable Large Scale Finite Element Incompressible Flow Simulations
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    Chapter 16 Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems
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    Chapter 17 Computational Complexity of Hierarchically Adapted Meshes
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    Chapter 18 A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection
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    Chapter 19 Link Prediction by Analyzing Temporal Behavior of Vertices
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    Chapter 20 Detecting the Most Insightful Parts of Documents Using a Regularized Attention-Based Model
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    Chapter 21 Challenge Collapsar (CC) Attack Traffic Detection Based on Packet Field Differentiated Preprocessing and Deep Neural Network
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    Chapter 22 Deep Low-Density Separation for Semi-supervised Classification
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    Chapter 23 Learning Functions Using Data-Dependent Regularization: Representer Theorem Revisited
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    Chapter 24 Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images
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    Chapter 25 Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-clustering as a Neighbourhood Identification Strategy
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    Chapter 26 GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels
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    Chapter 27 Interval Adjoint Significance Analysis for Neural Networks
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    Chapter 28 Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network
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    Chapter 29 An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation
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    Chapter 30 Interval Methods for Seeking Fixed Points of Recurrent Neural Networks
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    Chapter 31 Fusion Learning: A One Shot Federated Learning
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    Chapter 32 The Concept of System for Automated Scientific Literature Reviews Generation
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    Chapter 33 A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings
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    Chapter 34 Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks
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    Chapter 35 Hidden Markov Models and Their Application for Predicting Failure Events
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    Chapter 36 Reference-Based Haplotype Phasing with FPGAs
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    Chapter 37 Tree Based Advanced Relative Expression Analysis
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    Chapter 38 Testing the Significance of Interactions in Genetic Studies Using Interaction Information and Resampling Technique
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    Chapter 39 Analysis of Ensemble Feature Selection for Correlated High-Dimensional RNA-Seq Cancer Data
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    Chapter 40 Biological Network Visualization for Targeted Proteomics Based on Mean First-Passage Time in Semi-Lazy Random Walks
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    Chapter 41 Bootstrap Bias Corrected Cross Validation Applied to Super Learning
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    Chapter 42 MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers
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    Chapter 43 Using Machine Learning in Accuracy Assessment of Knowledge-Based Energy and Frequency Base Likelihood in Protein Structures
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    Chapter 44 Quantifying Overfitting Potential in Drug Binding Datasets
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    Chapter 45 Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning
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    Chapter 46 Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT
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    Chapter 47 Classification of Lung Diseases Using Deep Learning Models
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    Chapter 48 An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification