Computational Science – ICCS 2021

21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI

AvMaciej Paszynski,Dieter Kranzlmüller

Häftad, Engelska, 2021

Del 12747 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-06-10
Mått:155 x 235 x 56 mm
Vikt:1 098 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:714
Förlag:Springer Nature Switzerland AG
ISBN:9783030779795

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Quantum Computing Workshop.- Implementing Quantum Finite Automata Algorithms on Noisy Devices.- OnCall Operator Scheduling for Satellites with Grover’s Algorithm.- Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer.- Portfolio Optimisation Using the D-Wave Quantum Annealer.- Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing.- Classification using a two-qubit quantum chip.- Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer.- Adiabatic Quantum Feature Selection for Sparse Linear Regression.- EntDetector: entanglement detecting toolbox for bipartite quantum states.- On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies.- Quantum Asymmetric Encryption Based on Quantum Point Obfuscation.- Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing.- Simulations of Flow and Transport: Modeling, Algorithms and Computation.- Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification.- A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations.- Poroelasticity Modules for DarcyLite.- Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media.- An enhanced finite element algorithm for thermal Darcy flows with variable viscosity.- Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows.- Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method.- A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter.- Numerical Simulation of Free Surface Aﬀected by Submarine with a Rotating Screw Moving Underwater.- Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts.- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning.- Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning.- Eﬀective Car Collision Detection with Mobile Phone Only.- Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation.- Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings.- Supporting the process of sewer pipes inspection using machine learning on embedded devices.- Explanation-driven model stacking.- Software Engineering for Computational Science.- I/O Associations in Scientific Software: A Study of SWMM.- Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community.- Solving Problems with Uncertainty.- The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model.- Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach.- Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems.- Introducing Uncertainty Into Explanaible AI Methods.- New rank-reversal free approach to handle interval data in MCDA problems.- Vector and triangular representations of project estimation uncertainty: eﬀect of gender on usability.- The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre.- Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers.- Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty.- Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation.- Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty.- A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions.- Predicted Distribution Density Estimation for Streaming Data.- LSTM processing of experimental time series with varied quality.- Sampling method for the robust single machine scheduling with uncertain parameters.- Teaching Computational Science.- Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development.- Increasing the impact of teacher presence in online lectures.- Model-based approach to automated provisioning of collaborative educational services.- A collaborative peer review process for grading coding assignments in coursework.- How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course.- Uncertainty Quantification for Computational Models.- Detection of conditional dependence between multiple variables using multiinformation.-Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework.- Second Order Moments of Multivariate Hermite Polynomials.