Towards Understanding Time Varying Triangle Meshes

Towards Understanding Time Varying Triangle Meshes

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ICCS (21. : 2021 : Online) Computational science - ICCS 2021 ; Part 5
1. Verfasser: Dvořák, Jan (VerfasserIn)
Weitere Verfasser: Vaněček, Petr (VerfasserIn), Váša, Libor (VerfasserIn)
Pages:2021
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Towards Understanding Time Varying Triangle Meshes 2021 Dvořák, Jan
Procedural Level Generation with Difficulty Level Estimation for Puzzle Games 2021 Spierewka, Łukasz
Timeseries Based Deep Hybrid Transfer Learning Frameworks: A Case Study of Electric Vehicle Energy Prediction 2021 Banda, Paul
Hybrid Machine Learning for Time-Series Energy Data for Enhancing Energy Efficiency in Buildings 2021 Ngo, Ngoc-Tri
A Machine Learning Method for Parameter Estimation and Sensitivity Analysis 2021 Torres, Marcella
Low-Dimensional Decompositions for Nonlinear Finite Impulse Response Modeling 2021 Filiński, Maciej
Higher-Order Hierarchical Spectral Clustering for Multidimensional Data 2021 Brandi, Giuseppe
Analysis of Vortex Induced Vibration of a Thermowell by High Fidelity FSI Numerical Analysis Based on RBF Structural Modes Embedding 2021 Felici, Alessandro
A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model 2021 Alqasemi, Maryam
Shape Reconstruction from Point Clouds Using Closed Form Solution of a Fourth-Order Partial Differential Equation 2021 Zhu, Zaiping
MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD 2021 Jarmatz, Piet
Composite Generalized Elliptic Curve-Based Surface Reconstruction 2021 Li, Ouwen
Addressing Missing Data in a Healthcare Dataset Using an Improved kNN Algorithm 2021 Thomas, Tressy
Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements 2021 Tan, Li
I-80 Closures: An Autonomous Machine Learning Approach 2021 Carper, Clay
Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks 2021 Banda, Paul
Data-Driven Deep Learning Emulators for Geophysical Forecasting 2021 Sastry, Varuni Katti
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework 2021 Hennigh, Oliver
Verification, Validation and Uncertainty Quantification of Large-Scale Applications with QCG-PilotJob 2021 Bosak, Bartosz
Towards a Coupled Migration and Weather Simulation: South Sudan Conflict 2021 Jahani, Alireza
Alle Artikel auflisten