Computational Science - Iccs 2021: 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III, Paszynski Maciej, Kranzlmьller Dieter, Krzhizhanovskaya Valeria V.
Simulations of Flow and Transport: Modeling, Algorithms and Computation.- Decoupled and energy stable time-marching scheme for the interfacial flow with soluble surfactants.- A Numerical Algorithm to Solve the Two-Phase Flow in Porous Media Including Foam Displacement.- A three-dimensional, one-field, fictitious domain method for fluid-structure interactions.- Multi Axes Sliding Mesh Approach for Compressible Viscous Flows.- Monolithic arbitrary Lagrangian-Eulerian finite element method for a multi-domain blood flow-aortic wall interaction problem.- Morphing Numerical Simulation of Incompressible Flows Using Seamless Immersed Boundary Method.- deal.II Implementation of a Two-field Finite Element Solver for Poroelasticity.- Numerical Investigation of Solute Transport in Fractured Porous Media Using the Discrete Fracture Model.- Adaptive multiscale model reduction for nonlinear parabolic equations using GMsFEM.- Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems.- Numerical simulation of heat transfer in an enclosure with time-periodic heat generation using finite-difference method.- Development of an Object-Oriented Programming Tool based on FEM for Numerical Simulation of Mineral-Slurry Transport.- Descending Flight Simulation of Tiltrotor Aircraft at Different Descent Rates.- The quantization algorithm impact in hydrological applications: preliminary results.- An Expanded Mixed Finite Element Method for Space Fractional Darcy Flow in Porous Media.- Prediction of the Free Jet Noise Using Quasi-Gas Dynamic Equations and Acoustic Analogy.- Simulation Based Exploration of Bacterial Cross Talk Between Spatially Separated Colonies in A Multispecies Biofilm Community.- Massively Parallel Stencil Code for Radiation Transport Moment Model Simulations.- Hybrid Mixed Methods Applied to Miscible Displacements with Adverse Mobility Ratio.- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning.- Learn More from Context: Joint Modeling of Local and Global Attention for Aspect Sentiment Classification.- ArtPDGAN: Creating Artistic Pencil Drawing With Key Map Using Generative Adversarial Networks.- Interactive travel aid for the visually impaired - from depth maps to sonic patterns and verbal messages.- Ontology-Driven Edge Computing.- Combined Metrics for Quality Assessment of 3D Printed Surfaces for Aesthetic Purposes: Towards Higher Accordance with Subjective Evaluations.- Path Markup Language for Indoor Navigation.- Smart Fire Alarm System with Person Detection and Thermal Camera.- Data Mining for Thermal Analysis of Big Dataset of HPC-Data Center.- A comparison of multiple objective algorithms in the context of a dial a ride problem.- Software Engineering for Computational Science.- Lessons learned in a decade of research software engineering GPU applications.- Unit Tests of Scientific Software: A Study on SWMM.- NUMA-Awareness as a Plug-In for an Eventify-based Fast Multipole Method.- Boosting Group-level Synergies by Using a Shared Modeling Framework.- Testing Research Software: A Case Study.- APE: A Command-Line Tool and API for Automated Workflow Composition.- Solving Problems with Uncertainties.- An ontological approach to Knowledge Building by Data Integration.- A Simple Stochastic Process Model for River Environmental Assessment under Uncertainty.- A posteriori error estimation via differences of numerical solutions.- Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model.- Robust single machine scheduling with random blocks in an uncertain environment.- Empirical Analysis of Stochastic Methods of Linear Algebra.- Wind field parallelization based on Python multiprocessing to reduce forest fire propagation prediction uncertainty.- Risk Profiles of Financial Service Portfolio for Women Segment using Machine Learning Algorithms.- Multidimensio
Описание: ICCS Main Track.- An efficient new static scheduling heuristic for accelerated architectures.- Multilevel Parallel Computations for Solving Multistage Multicriteria Optimization Problems.- Enabling Hardware Affinity in JVM-based Applications: A Case Study for Big Data.- An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language.- Parallel numerical solution of a 2D Chemotaxis-Stokes system on GPUs technology.- Automatic management of cloud applications with use of Proximal Policy Optimization.- Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning.- A massively parallel algorithm for the three-dimensional Navier-Stokes-Boussinesq simulations of the atmospheric phenomena.- Reconstruction of Low Energy Neutrino Events with GPUs at IceCube.- Cache-Aware Matrix Polynomials.- QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing.- From Conditional Independence to Parallel Execution in Hierarchical Models.- Improving performance of the Hypre iterative solver for Uintah combustion codes on manycore architectures using MPI Endpoints and Kernel Consolidation.- Analysis of Checkpoint I/O behavior.- Enabling EASEY deployment of containerized applications for future HPC systems.- Reproducibility of computational experiments on Kubernetes-managed container clouds with HyperFlow.- GPU-accelerated RDP Algorithm for Data Segmentation.- Sparse Matrix-Based HPC Tomography.- heFFTe: Highly Efficient FFT for Exascale.- Scalable Workflow-Driven Hydrologic Analysis in HydroFrame.- Patient-specific cardiac parametrization from Eikonal simulations.- An Empirical Analysis of Predictors for Workload Estimation in Healthcare.- How You Say Or What You Say? Neural Activity in Message Credibility Evaluation.- Look Who's Talking: Modeling Decision Making Based on Source Credibility.- An Adaptive Network Model for Burnout and Dreaming.- Computational Analysis of the Adaptive Causal Relationships between Cannabis, Anxiety and Sleep.- Detecting Critical Transitions in the Human Innate Immune System Post-Cardiac Surgery.- Using individual-based models to look beyond the horizon: the changing effects of household-based clustering of susceptibility to measles in the next 20 years.- Modelling the effects of antibiotics on gut flora using a nonlinear compartment model with uncertain parameters.- Stochastic volatility and early warning indicator.- Boost and Burst: Bubbles in the Bitcoin Market.- Estimation of tipping points for critical and transitional regimes in the evolution of complex interbank network.- Modeling of Fire Spread including Different Heat Transfer Mechanisms using Cellular Automata.- Narrow passage problem solution for motion planning.- Fault Injection, Detection and Treatment in Simulated Autonomous Vehicles.- Using Cellular Automata to Model High Density Pedestrian Dynamics.- Autonomous Vehicles as Local Traffic Optimizers.- Modeling Helping Behavior in Emergency Evacuations using Volunteer's Dilemma Game.- Learning Mixed Traffic Signatures in Shared Networks.- A Novel Metric to Evaluate In Situ Workflows.- Social Recommendation in Dynamic Evolving Relation Network.- DDNE: Discriminative Distance Metric Learning for Network Embedding.- Extracting Backbone Structure of a Road Network from Raw Data.- Look Deep into the New Deep Network: A Measurement Study on the ZeroNet.- Identifying influential spreaders on a weighted network using HookeRank method.- Community aware models of meme spreading in micro-blog social networks.- Dynamic Vote-Rank Based Approach for Effective Sequential Initialization of Information Spreading Processes within Complex Networks.- On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks.- Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations.- A Probabilistic Infection Model for Efficien
Data Driven Computational Sciences.- A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.- Early adaptive evaluation scheme for data-driven calibration in forest fire spread prediction.- Strategic Use of Data Assimilation for Dynamic Data-driven Simulation.- PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation.- Cyber Attribution from Topological Patterns.- Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Model.- Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms.- Normal Grouping Density Separation (NGDS): a novel object-driven indoor point cloud partition method.- Machine Learning and Data Assimilation for Dynamical Systems.- Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach.- Learning ergodic averages in chaotic systems.- Supermodeling: the next level of abstraction in the use of data assimilation.- A new multilayer network construction via Tensor learning.- Neural Assimilation.- A Machine Learning Method for Computing Rare Event Probabilities.- Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network.- Accelerated Gaussian Convolution in a Data Assimilation scenario.- Complementary Role of Data Assimilation and Machine Learning for a Truly Optimal Estimation System: An Example Derived from Air Quality Analysis.- Recursive Updates of Wildfire Perimeters using Barrier Points and Ensemble Kalman Filtering.- Meshfree Methods in Computational Sciences.- Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data.- High accuracy terrain reconstruction from point clouds using implicit deformable model.- Solving non-linear elasticity problems by a WLS high order continuation.- Advanced Radial Basis Functions mesh morphing for high fidelity Fluid-Structure Interaction with known movement of the walls: simulation of an aortic valve.- Radial Basis Functions Mesh Morphing - A comparison between the bi-harmonic spline and the Wendland C2 radial function.- Radial Basis Function Approximation Optimal Shape Parameters Estimation: Preliminary Experimental Results.- Multiscale Modelling and Simulation.- Projective Integration for Moment Models of the BGK Equation.- Open Boundary Modeling in Molecular Dynamics with Machine Learning.- Microtubule Biomechanics and the Effect of Degradation of Elastic Moduli.- Formation of morphogenetic patterns in cellular automata.- Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling.- Development and application of the Statistically Similar Representative Volume Element for numerical modelling of multiphase materials.- A heterogeneous multi-scale model for blood flow.- Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources.- Easing multiscale model design and coupling with MUSCLE 3.- Quantum Computing Workshop.- Simulations of Quantum Finite Automata.- LibKet: A cross-platform programming framework for quantumaccelerated scientific computing.- Generalized Quantum Deutsch-Jozsa Algorithm.- Revisiting old combinatorial beasts in the quantum age: quantum annealing versus maximal matching.- A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.- Hybrid quantum annealing heuristic method for solving Job Shop Scheduling Problem.- Foundations for Workflow Application Scheduling on D-Wave System.- A Hybrid Solution Method for the Multi-Service Location Set Covering Problem.- New hybrid quantum annealing algorithms for solving Vehicle Routing Problem.- Multi-agent reinforcement learning using simulated quantum annealing.- Quantum Hopfield neural networks: A new approach and its storage Capacity.- A Variational algorithm for Quantum Neural Networks
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: 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 reviewed and selected from 635 submissions.
Описание: 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 reviewed and selected from 635 submissions.
Описание: 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 reviewed and selected from 635 submissions.
Описание: 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 reviewed and selected from 635 submissions.
Описание: 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 reviewed and selected from 635 submissions.
Advances in High-Performance Computational Earth Sciences: Applications and Frameworks.- Data-Driven Approach to Inversion Analysis of Three-dimensional Inner Soil Structure via Wave Propagation Analysis.- Data assimilation in volcano deformation using fast finite element analysis with high fidelity model.- Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries.- The challenge of onboard SAR processing: a GPU opportunity.- High-resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large Scale Transport Simulations.- Granulation-based reverse image retrieval for microscopic rock images.- Hybrid SWAN for fast and efficient practical wave modelling - part 2.- Agent-Based Simulations, Adaptive Algorithms and Solvers.- An agent-based simulation of the spread of Dengue fever.- Hypergraph grammar-based model of adaptive bitmap compression.- Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton.- Scalable Signal-based Simulation of Autonomous Beings in Complex Environments.- Design of Loss Functions for Solving Inverse Problems using Deep Learning.- Asynchronous Actor-based Approach to Multiobjective Hierarchical Strategy.- MeshingNet: A New Mesh Generation Method based on Deep Learning.- A block preconditioner for scalable large scale finite element incompressible flow simulations.- Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems.- Computational complexity of hierarchically adapted meshes.- A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection.- Applications of Computational Methods in Artificial Intelligence and Machine Learning.- Link Prediction by Analyzing Temporal Behavior of Vertices.- Detecting Most Insightful Parts of Documents using an Attention-Based Model.- Challenge Collapsar(CC) Attack Traffic Detection based on Packet Field Differentiated Preprocessing and Deep Neural Network.- Deep Low-Density Separation for Semi-Supervised Classification.- Learning functions using data-dependent regularization: Representer theorem revisited.- Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images.- Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-Clustering as a Neighbourhood Identification Strategy.- GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels.- Interval Adjoint Significance Analysis for Neural Networks.- Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network.- An Empirical Evaluation Of Attention And Pointer Networks For Paraphrase Generation.- Interval methods for seeking fixed points of recurrent neural networks.- Fusion Learning: A One Shot Federated Learning.- The concept of system for automated scientific literature reviews generation.- A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings.- Retrain or not retrain ? - efficient pruning methods of deep CNN networks.- Hidden Markov Models and their Application for Predicting Failure Events.- Biomedical and Bioinformatics Challenges for Computer Science.- Reference-based Haplotype Phasing with FPGAs.- Tree Based Advanced Relative Expression Analysis.- Testing the significance of interactions in genetic studies using interaction information and resampling technique.- Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data.- Biological Network Visualization for Targeted Proteomics based on Mean First-Passage Time in Semi-Lazy Random Walks.- Bootstrap Bias Corrected Cross Validation applied to Super Learning.- MMRF-CoMMpass data integration and analysis for identifying prognostic markers.- Using machine learning in accuracy assessment of knowledge-based energy and frequency base likelihood in pro
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