Computational Science – ICCS 2021 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V
The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully...
Other Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2021, 2021
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Edition: | 1st ed. 2021 |
Series: | Theoretical Computer Science and General Issues
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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
- 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 differential 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-differentiated 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
- Computer Graphics, Image Processing and Artificial Intelligence
- Factors affecting 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
- 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 Differentiation 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.