Vor Ort
Merkzettel Warenkorb

Gutscheinbedingungen

**Gültig bis 06.07.2026 auf fremdsprachige Bücher online auf thalia.at, in der Thalia App ab einem Mindestbestellwert von 30€ und in allen Thalia Buchhandlungen in Österreich. In den Buchhandlungen nur gültig auf lagernde Ware. Einzelne Artikel können ausgeschlossen sein. Ausgenommen sind preisgebundene Artikel & eBooks. Pro Einkauf einmal einlösbar. Nur gültig gegen Vorlage oder im Onlineshop hinterlegter Bonuscard. Infos zur Einlösung in der Buchhandlung sind auf der Bonuscard-Vorteilspreisseite zu finden. Click & Collect nur bei Onlinevorabzahlung möglich. Keine Einlösung bei Scan & Go-Bezahlung. Keine Barauszahlung. Nicht kombinierbar mit anderen Aktionen und Gutscheinen. Gutschein wird auf max. 500€ Bestellwert angerechnet. Nicht gültig für Versandkosten und Services.
  • Produktbild: Computational Science – ICCS 2021
  • Produktbild: Computational Science – ICCS 2021
Band 12747

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

Aus der Reihe Lecture Notes in Computer Science

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.06.2021

Herausgeber

Maciej Paszynski + weitere

Verlag

Springer

Seitenzahl

714

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1095 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-77979-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.06.2021

Herausgeber

Verlag

Springer

Seitenzahl

714

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1095 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-77979-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Computational Science – ICCS 2021
  • Produktbild: Computational Science – ICCS 2021
  • 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.