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Computational Science – ICCS 2020

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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
Attention for Chapter 35: Hidden Markov Models and Their Application for Predicting Failure Events
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Chapter title
Hidden Markov Models and Their Application for Predicting Failure Events
Chapter number 35
Book title
Computational Science – ICCS 2020
Published in
Computational Science – ICCS 2020, June 2020
DOI 10.1007/978-3-030-50420-5_35
Book ISBNs
978-3-03-050419-9, 978-3-03-050420-5
Authors

Paul Hofmann, Zaid Tashman, Hofmann, Paul, Tashman, Zaid

Twitter Demographics

The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Doctoral Student 2 18%
Student > Master 1 9%
Researcher 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Engineering 4 36%
Computer Science 3 27%
Physics and Astronomy 1 9%
Unknown 3 27%