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Computational Science - ICCS 2021 : 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part VI / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Paszynski, Maciej, Editor.
Kranzlmüller, Dieter., Editor.
Krzhizhanovskaya, Valeria V., Editor.
Dongarra, J. J., Editor.
Sloot, Peter M. A., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12747
Theoretical Computer Science and General Issues, 2512-2029 ; 12747
Language:
English
Subjects (All):
Computer science.
Computer science-Mathematics.
Computer engineering.
Computer networks.
Artificial intelligence.
Theory of Computation.
Mathematics of Computing.
Computer Engineering and Networks.
Artificial Intelligence.
Local Subjects:
Theory of Computation.
Mathematics of Computing.
Computer Engineering and Networks.
Artificial Intelligence.
Physical Description:
1 online resource (XIX, 714 pages) : 58 illustrations
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
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. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-030-77980-1
9783030779801
Access Restriction:
Restricted for use by site license.

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