Computational Science - ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI

Computational Science - ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI
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Format:
Bog, hæftet
Udgivelsesdato:
01-06-2020
Sprog:
Engelsk
Sidetal:
688

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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 E¿ect of Degradation of Elastic Moduli.- Formation of morphogenetic patterns in cellular automata.- Multilevel Monte Carlo with improved correlation for kinetic equations in the di¿usive 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.- Imperfect Distributed Qua

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Udgivelsesdato:
01-06-2020
ISBN13:
9783030504342
Vægt:
948 g
Dybde:
35 mm
Bredde:
156 mm
Højde:
234 mm
Forlag:
Springer
Format:
Hæftet

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