Computational Science - Iccs 2020: 20th International Conference, Amsterdam, the Netherlands, June 3-5, 2020, Proceedings, Part III, Krzhizhanovskaya Valeria V., Zбvodszky Gбbor, Lees Michael H.
Track of Computational Optimization, Modelling and Simulation.- Information Theory-based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.- On the potential of the nature-inspired algorithms for pure binary Classification.- Symbolic Music Text Fingerprinting: Automatic Identification of Musical Scores.- Reduced-Cost Constrained Modeling of Microwave and Antenna Components: Recent Advances.- Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging.- Model-Based Sensitivity Analysis of Nondestructive Testing Systems using Machine Learning Algorithms.- Application of Underdetermined Differential Algebraic Equations to Solving One Problem from Heat Mass Transfer.- Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks.- Deep Learning Assisted Memetic Algorithm for Shortest Route Problems.- A relaxation algorithm for optimal control problems governed by two-dimensional conservation laws.- Genetic learning particle swarm optimization with interlaced ring topology.- Low Reynolds Number Swimming with Slip Boundary Conditions.- Trilateration-based Multilevel Method for Minimizing the Lennard-Jones Potential.- A Stochastic Birth-Death Model of Information Propagation Within Human Networks.- A Random Line-Search Optimization Method Via Modified Cholesky Decomposition for Non-Linear Data Assimilation.- A Current Task-Based Programming Paradigms Analysis.- Radial Basis Functions Based Algorithms for non-Gaussian Delay Propagation in Very Large Circuits.- Ant Colony Optimization implementation for reversible synthesis in Walsh-Hadamard domain.- COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking.- Convex Polygon Packing Based Meshing Algorithm for Modeling of Rock and Porous Media.- Track of Computational Science in IoT and Smart Systems.- Modelling contextual data for smart environments. Case study of a system to support mountain rescuers.- Fuzzy Intelligence in Monitoring Older Adults with Wearables.- Deep Analytics for Management and Cybersecurity of the National Energy Grid.- Regression methods for detecting anomalies in flue gas desulphurization installations in coal-fired power plants based on sensor data.- Autonomous Guided Vehicles for Smart Industries the state of the art and research challenges.- IoT-based cow health monitoring system.- Visual Self-Healing Modelling for Reliable Internet-of-Things Systems.- Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks.- Conversational Interface for Managing Non-Trivial Internet-of-Things Systems.- Improving Coverage Area in Sensor Deployment using Genetic Algorithm.- Object-Oriented Internet Reactive Interoperability.- Impact of long-range dependent traffic in IoT local wireless networks on backhaul link performance.- Track of Computer Graphics, Image Processing and Artificial Intelligence.- OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems.- Weighted Clustering for Bees Detection on Video Images.- Improved Two-Step Binarization of Degraded Document Images Based on Gaussian Mixture Model.- Cast Shadow Generation using Generative Adversarial Networks.- Medical Image Enhancement using Super Resolution Methods.- Plane Space Representation in Context of Mode-based Symmetry Plane Detection.- Impression Curve as a New Tool in the study of Visual Diversity of Computer Game Levels for Individual Phases of the Design Process.- Visual analysis of computer game output video stream for gameplay metrics.- Depth map estimation with consistent normals from stereo images.- Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-Adaptive Firefly Algorithm.- Dual formulation of the TV-Stokes denoising model for multidimensional vectorial images.- Minimizing material consumption of 3D printing with stress-guide
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28-29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India.
Описание: and environmental sensing technologies for visual impairmentPart II: accessibility of non-verbal communication: making spatial information accessible to people with disabilities; cognitive disabilities and accessibility - pushing the boundaries of inclusion using digital technologies and accessible eLearning environments;
Описание: This book constitutes the refereed proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2020, held in Warsaw, Poland, in September 2020. biomedical image processing; colour image processing; multispectral image processing; pattern recognition in image processing; hardware and architectures for image processing;
Classifier Learning from Difficult Data.- Different strategies of fitting logistic regression for positive and unlabelled data.- Branch-and-Bound Search for Training Cascades of Classifiers.- Application of the stochastic gradient method in the construction of the main components of PCA in the task diagnosis of multiple sclerosis in children.- Grammatical Inference by Answer Set Programming.- Dynamic Classifier Selection for data with skewed class distribution using Imbalance Ratio and Euclidean distance.- On Model Evaluation under Non-constant Class Imbalance.- A Correction Method of a Base Classifier Applied to Imbalanced Data Classification.- Standard Decision Boundary in a support-domain of fuzzy classifier prediction for the task of imbalanced data classification.- Employing One-class SVM Classifier Ensemble for Imbalanced Data Stream Classification.- Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification.- Performance Analysis of Binarization Strategies for Multi-Class Imbalanced Data Classification.- Towards Network Anomaly Detection Using Graph Embedding.- Maintenance and Security System for PLC Railway LED Sign Communication Infrastructure.- Behavioral Biometric User Authentication from URL Logs.- On the impact of network data balancing in cybersecurity applications.- Pattern recognition model to aid the optimization of Dynamic Spectrally-Spatially Flexible Optical Networks.- Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network.- Complex Social Systems through the Lens of Computational Science.- Cooperation for public goods under uncertainty.- An Information-Theoretic and Dissipative Systems Approach to the Study of Knowledge Diffusion and Emerging Complexity in Innovation Systems.- Mapping the port influence diffusion patterns: a case study of Rotterdam, Antwerp and Singapore.- Entropy-based Measure for Influence Maximization in Temporal Networks.- Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks.- From generality to specificity: on matter of scale in social media topic Communities.- Computational Health.- Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes.- Early signs of critical slowing down in heart surface electrograms of ventricular fibrillation victims.- A Comparison of Generalized Stochastic Milevsky-Promislov Mortality Models with continuous non-Gaussian Filters.- Ontology-Based Inference for Supporting Clinical Decisions in Mental Health.- Towards Prediction of Heart Arrhythmia Onset Using Machine Learning.- Stroke ICU Patient Mortality Day Prediction.- Universal measure for medical image quality evaluation based on gradient approach.- Constructing Holistic Patient Flow Simulation Using System Approach.- Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis.- A Machine Learning Approach To Short-term Body Weight Prediction In A Dietary Intervention Program.- An analysis of demographic data in Irish healthcare domain to support semantic uplift.- From Population to Subject-Specific Reference Intervals.- Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence.- The Atrial Fibrillation Risk Score for Hyperthyroidism Patients.- Applicability of Machine Learning Methods to Multi-Label Medical Text Classification.- Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People.- Gait Abnormality Detection in People with Cerebral Palsy using an Uncertainty-based State-space Model.- Analyses of public health databases via clinical pathway modelling: TBWEB.- Preliminary results on Pulmonary Tuberculosis detection in Chest X-Ray us
Data Driven Computational Sciences.- A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.- Early adaptive evaluation scheme for data-driven calibration in forest fire spread prediction.- Strategic Use of Data Assimilation for Dynamic Data-driven Simulation.- PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation.- Cyber Attribution from Topological Patterns.- Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Model.- Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms.- Normal Grouping Density Separation (NGDS): a novel object-driven indoor point cloud partition method.- Machine Learning and Data Assimilation for Dynamical Systems.- Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach.- Learning ergodic averages in chaotic systems.- Supermodeling: the next level of abstraction in the use of data assimilation.- A new multilayer network construction via Tensor learning.- Neural Assimilation.- A Machine Learning Method for Computing Rare Event Probabilities.- Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network.- Accelerated Gaussian Convolution in a Data Assimilation scenario.- Complementary Role of Data Assimilation and Machine Learning for a Truly Optimal Estimation System: An Example Derived from Air Quality Analysis.- Recursive Updates of Wildfire Perimeters using Barrier Points and Ensemble Kalman Filtering.- Meshfree Methods in Computational Sciences.- Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data.- High accuracy terrain reconstruction from point clouds using implicit deformable model.- Solving non-linear elasticity problems by a WLS high order continuation.- Advanced Radial Basis Functions mesh morphing for high fidelity Fluid-Structure Interaction with known movement of the walls: simulation of an aortic valve.- Radial Basis Functions Mesh Morphing - A comparison between the bi-harmonic spline and the Wendland C2 radial function.- Radial Basis Function Approximation Optimal Shape Parameters Estimation: Preliminary Experimental Results.- Multiscale Modelling and Simulation.- Projective Integration for Moment Models of the BGK Equation.- Open Boundary Modeling in Molecular Dynamics with Machine Learning.- Microtubule Biomechanics and the Effect of Degradation of Elastic Moduli.- Formation of morphogenetic patterns in cellular automata.- Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling.- Development and application of the Statistically Similar Representative Volume Element for numerical modelling of multiphase materials.- A heterogeneous multi-scale model for blood flow.- Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources.- Easing multiscale model design and coupling with MUSCLE 3.- Quantum Computing Workshop.- Simulations of Quantum Finite Automata.- LibKet: A cross-platform programming framework for quantumaccelerated scientific computing.- Generalized Quantum Deutsch-Jozsa Algorithm.- Revisiting old combinatorial beasts in the quantum age: quantum annealing versus maximal matching.- A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.- Hybrid quantum annealing heuristic method for solving Job Shop Scheduling Problem.- Foundations for Workflow Application Scheduling on D-Wave System.- A Hybrid Solution Method for the Multi-Service Location Set Covering Problem.- New hybrid quantum annealing algorithms for solving Vehicle Routing Problem.- Multi-agent reinforcement learning using simulated quantum annealing.- Quantum Hopfield neural networks: A new approach and its storage Capacity.- A Variational algorithm for Quantum Neural Networks
ICCS Main Track.- Modified binary tree in the fast PIES for 2D problems with complex shapes.- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study.- An effective stable numerical method for integrating highly oscillating functions with a linear phase.- Fitting Penalized Logistic Regression Models using QR Factorization.- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method.- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique.- Data-driven partial differential equations discovery approach for the noised multi-dimensional data.- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks.- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity.- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data.- Loop Aggregation for Approximate Scientific Computing.- Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass.- Bezier surfaces for modeling inclusions in PIES.- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study.- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem.- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River.- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations.- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs.- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem.- Epigenetic modification of genetic algorithm.- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification.- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks.- SciNER: Extracting Named Entities From Scientific Literature.- GPU-embedding of kNN-graph representing large and high-dimensional data.- Evolving Long Short-Term Memory Networks.- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features.- Data fitting by exponential sums with equal weights.- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape.- Improving accuracy and speeding up Document Image Classification through parallel systems.- Computation of the airborne contaminant transport in urban area by the artificial neural network.- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs.- Modeling of Anti-tracking Network based on Convex-polytope Topology.- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations.- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources.- Malicious Domain Detection Based on K-means and SMOTE.- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management.- Hashing Based Prediction for Large-Scale Kernel Machine.- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy.- Are n-gram Categories Helpful in Text Classification?.- Calculating Reactive Power Compensation for Large-scale Street Lighting.- Developing a Decision Support App for Computational Agriculture.- Optimal Location of Sensors for Early Detection of Tsunami Waves.- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression.- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling.- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society.- Joint Entity Linking for Web Tables with Hybrid Semantic Matching.- A new coefficient of rankings simil
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
