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Produktbild: Computational Science – ICCS 2021
Band 12742

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

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.06.2021

Abbildungen

XX, 797 p. 294 illus., 232 illus. in color.

Herausgeber

Maciej Paszynski + weitere

Verlag

Springer

Seitenzahl

797

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1218 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-77960-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.06.2021

Abbildungen

XX, 797 p. 294 illus., 232 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

797

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1218 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-77960-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Science – ICCS 2021

  • ICCS Main Track.-
    Smoothing Speed Variability in Age-Friendly Urban Traffic Management.- An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression.- Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design.- A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life.- HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification.- Music genre classification: looking for the Perfect Network.- Big Data for National Security in the Era of COVID-19.- Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute.- Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations.- SGAIN, WSGAIN-CP and WSGAIN-GP: Novel Gan Methods for Missing Data Imputation.- Deep learning driven self-adaptive hp finite element method.- Machine-Learning Based Prediction of Multiple Types of Network Traffic.- Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets.- Out-plant milk-run-driven mission planning subject to dynamic changes of date and place delivery.- An Efficient Hybrid Planning Framework for In-Station Train Dispatching.- Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows.- A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty.- New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures.- Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems.- A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures.- Scientific workflow management on hybrid clouds with cloud bursting and transparent data access.- Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System.- A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere.- mRelief: A Reward Penalty based Feature SubsetSelection Considering Data Overlapping Problem.- Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods.- Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions.- DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method.- Acceleration of the Robust Newton Method by the use of the S-iteration.- A New Approach to Eliminate Rank Reversal in the MCDA problems.- Validating Optimal COVID-19 Vaccine Distribution Models.- RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing.- Digital image reduction for analysis of topological changes in pore space during chemical dissolution.- Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks.- Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equationswith different Fractional order.- Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems.- Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications.- Revolve-Based Adjoint Checkpointing for Multistage Time Integration.- Comprehensive regularization of PIES for problems modeled by 2D Laplace’s equation.- High Resolution TVD Scheme based on Fuzzy Modifiers for Shallow-Water equations.- PIES for viscoelastic analysis.- Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods.- An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known.- Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach.- An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation.- Improved Lower Bounds for the Cyclic Bandwidth Problem.- Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis.- Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation.- Embedding alignment methods in dynamic networks.- The OpenPME Problem Solving Environment for Numerical Simulations.- Building a Prototype for Easy to Use Collaborative Immersive Analytics.- Implementation of Auditable Blockchain Voting System with Hyperledger Fabric.- Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science.- Hierarchical Analysis of Halo Center in Cosmology.- Fast Click-Through Rate Estimation using Data Aggregates.- A Model for Predicting n-gram Frequency Distribution in Large Corpora.- Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map.- A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain.- Predicting the Age of Scientific Papers.- Data Augmentation for Copy-Mechanism in Dialogue State Tracking.- Ensemble Labeling Towards Scientific Information Extraction (ELSIE).- Error estimation and correction using the forward CENA method.- Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum.