Computational science - ICCS 2021 : 21st international conference, Krakow, Poland, June 16-18, 2021 : proceedings. Part I / Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot (eds.)

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...

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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Author: ICCS (International Conference on Computer Science) Online)
Other Authors: Paszynski, Maciej (Editor), Kranzlmüller, Dieter, 1969- (Editor), Krzhizhanovskaya, Valeria V. (Editor), Dongarra, J. J. (Editor), Sloot, Peter, 1956- (Editor)
Other title:ICCS 2021.
Format: Conference Proceeding eBook
Language:English
Published: Cham : Springer, [2021]
Series:Lecture notes in computer science ; 12742.
LNCS sublibrary. Theoretical computer science and general issues.
Subjects:
Table of Contents:
  • 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 Equations with 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.