Computational Science - Iccs 2021: 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part V (Paperback, 2021)

Computer Graphics, Image Processing and Artificial Intelligence.- Factors a?ecting the sense of scale in immersive, realistic Virtual Reality space.- Capsule Network versus Convolutional Neural Network in Image Classification Comparative Analysis.- State-of-the-art in 3D face reconstruction from a single RGB image.- Towards understanding time varying triangle meshes.- Semantic similarity metric learning for sketch-based 3D shape retrieval.- ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model.- EEG-Based Emotion Recognition Using Convolutional Neural Networks.- Improving Deep Object Detection Backbone with Feature Layers.- Procedural Level Generation with Difficulty Level Estimation for Puzzle Games.- ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices.- Composite generalized elliptic curve-based surface reconstruction.- Supporting Driver Physical State Estimation by Means of Thermal Image Processing.- Smart Events in Behavior of Non-player characters in Computer Games.- Place Inference via Graph-based One-class Decisions on Deep Embeddings and Blur Detections.- Football Players Movement Analysis in Panning Videos.- Shape reconstruction from point clouds using closed form solution of a fourth-order partial di?erential equation.- Data-Driven Computational Sciences.- Addressing Missing Data in a Healthcare Dataset Using an Improved kNN Algorithm.- Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements.- Scalable Statistical Inference of Photometric Redshift via Data Subsampling.- Timeseries based deep hybrid transfer learning framework: A case of electrical vehicle energy consumption.- Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings.- I-80 Closures: An Autonomous Machine Learning Approach.- Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks.- Machine Learning and Data Assimilation for Dynamical Systems.- Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods.- Automatic-di?erentiated Physics-Informed Echo State Network (API-ESN).- A machine learning method for parameter estimation and sensitivity analysis.- Auto-Encoded Reservoir Computing for Turbulence Learning.- Low-dimensional Decompositions for Nonlinear Finite Impulse Response Modeling.- Latent GAN: using a latent space-based GAN for rapid forecasting of CFD models.- Data Assimilation in the Latent Space of a Convolutional Autoencoder.- Higher-order hierarchical spectral clustering for multidimensional data.- Towards data-driven simulation models for building energy management.- Data Assimilation using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models.- A GPU algorithm for outliers detection in TESS light curves.- Data-driven deep learning emulators for geophysical forecasting.- NVIDIA SimNet: An AI-Accelerated Multi-Physics Simulation Framework.- MeshFree Methods and Radial Basis Functions in Computational Sciences.- Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding.- Automatic Optimization Method based on mesh morphing surface sculpting driven by Biological Growth Method: an application to the Coiled Spring section shape.- Multiscale Modelling and Simulation.- Verification, Validation and Uncertainty Quantification of large-scale applications with QCG-PilotJob.- Towards a coupled migration and weather simulation: South Sudan conflict.- Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM.- Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases.- A Semi-implicit Backward Di?erentiation ADI Method for Solving Monodomain Model.- A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction.- MsFEM upscaling for the coupled thermo-mechanical problem.- MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD.