Computational Science – ICCS 2023

Table of Contents

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   Book Overview
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   Chapter 1 The Social Graph Based on Real Data
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   Chapter 2 Longitudinal Analysis of the Topology of Criminal Networks Using a Simple Cost-Benefit Agent-Based Model
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   Chapter 3 Manifold Analysis for High-Dimensional Socio-Environmental Surveys
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   Chapter 4 Toxicity in Evolving Twitter Topics
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   Chapter 5 Structural Validation of Synthetic Power Distribution Networks Using the Multiscale Flat Norm
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   Chapter 6 OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
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   Chapter 7 Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data
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   Chapter 8 Database of Fragments of Medieval Codices of the 11th–12th Centuries – The Uniqueness of Requirements and Data
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    Chapter 9 Global Optimisation for Improved Volume Tracking of Time-Varying Meshes
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    Chapter 10 Detection of Objects Dangerous for the Operation of Mining Machines
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    Chapter 11 A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
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    Chapter 12 Champion Recommendation in League of Legends Using Machine Learning
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    Chapter 13 Classification Performance of Extreme Learning Machine Radial Basis Function with K-means, K-medoids and Mean Shift Clustering Algorithms
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    Chapter 14 Impact of Text Pre-processing on Classification Accuracy in Polish
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    Chapter 15 A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
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    Chapter 16 Forest Image Classification Based on Deep Learning and XGBoost Algorithm
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    Chapter 17 Radius Estimation in Angiograms Using Multiscale Vesselness Function
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    Chapter 18 3D Tracking of Multiple Drones Based on Particle Swarm Optimization
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    Chapter 19 Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes
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    Chapter 20 Cerebral Vessel Segmentation in CE-MR Images Using Deep Learning and Synthetic Training Datasets
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    Chapter 21 Numerical Method for 3D Quantification of Glenoid Bone Loss
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    Chapter 22 Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
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    Chapter 23 Clustering-Based Identification of Precursors of Extreme Events in Chaotic Systems
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    Chapter 24 Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence
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    Chapter 25 Graph Neural Network Potentials for Molecular Dynamics Simulations of Water Cluster Anions
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    Chapter 26 Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model
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    Chapter 27 An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations
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    Chapter 28 Learning Neural Optimal Interpolation Models and Solvers
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    Chapter 29 Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
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    Chapter 30 Rules’ Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
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    Chapter 31 Data-Driven Stability Analysis of a Chaotic Time-Delayed System
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    Chapter 32 Learning 4DVAR Inversion Directly from Observations
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    Chapter 33 Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting
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    Chapter 34 An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction
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    Chapter 35 A Kernel Extension of the Ensemble Transform Kalman Filter
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    Chapter 36 Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference
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    Chapter 37 Towards Online Anomaly Detection in Steel Manufacturing Process
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    Chapter 38 Biharmonic Scattered Data Interpolation Based on the Method of Fundamental Solutions
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    Chapter 39 Spatially-Varying Meshless Approximation Method for Enhanced Computational Efficiency
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    Chapter 40 Oscillatory Behaviour of the RBF-FD Approximation Accuracy Under Increasing Stencil Size
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    Chapter 41 On the Weak Formulations of the Multipoint Meshless FDM
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    Chapter 42 Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
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    Chapter 43 Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons
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    Chapter 44 Towards a Simplified Solution of COVID Spread in Buildings for Use in Coupled Models
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    Chapter 45 Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
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    Chapter 46 Applying Reinforcement Learning to Ramsey Problems
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    Chapter 47 Strengthening Structural Baselines for Graph Classification Using Local Topological Profile
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    Chapter 48 Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
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    Chapter 49 Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
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    Chapter 50 Parallel Triangles and Squares Count for Multigraphs Using Vertex Covers
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    Chapter 51 Deep Learning Attention Model for Supervised and Unsupervised Network Community Detection
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    Chapter 52 On Filtering the Noise in Consensual Communities