Computational Science - ICCS 2019 : 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part II / edited by João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, Jack J. Dongarra, Peter M.A. Sloot.

Format:

Book

Contributor:

Rodrigues, João M. F., editor.

Cardoso, Pedro J. S., editor.

Monteiro, Janio, editor.

Lam, Roberto, editor.

Krzhizhanovskaya, Valeria V., editor.

Lees, Michael H., editor.

Dongarra, J. J., editor.

Sloot, Peter M.A., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 11537.

Theoretical Computer Science and General Issues ; 11537

Language:

English

Subjects (All):

Computers.

Artificial intelligence.

Computer organization.

Logic design.

Optical data processing.

Computer science--Mathematics.

Computer science.

Theory of Computation.

Artificial Intelligence.

Computer Systems Organization and Communication Networks.

Logic Design.

Image Processing and Computer Vision.

Mathematics of Computing.

Local Subjects:

Theory of Computation.

Artificial Intelligence.

Computer Systems Organization and Communication Networks.

Logic Design.

Image Processing and Computer Vision.

Mathematics of Computing.

Physical Description:

1 online resource (XIX, 679 pages) : 304 illustrations, 237 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Contents:

ICCS Main Track

Synthesizing quantum circuits via numerical optimization

Application of continuous time quantum walks to image segmentation

Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning

Multi-Source Manifold Outlier Detection

A Fast kNN-based Approach for Time Sensitive Anomaly Detection over Data Streams

n-gram Cache Performance in Statistical Extraction of Relevant Terms in Large Corpora

Lung Nodule Diagnosis via Deep Learning and Swarm Intelligence

Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection

Machine learning for performance enhancement of molecular dynamics Simulations

2D-Convolution based Feature Fusion for Cross-Modal Correlation Learning

DunDi: Improving Robustness of Neural Networks using Distance Metric Learning

Autism Screening using Deep Embedding Representation

Function and pattern extrapolation with product-unit networks

Fast and Scalable Outlier Detection with Metric Access Methods

Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India

Data Analysis for Atomic Shapes in Nuclear Science

A Novel Partition Method for Busy Urban Area Based on Spatial-Temporal Information

Mention Recommendation with Context-aware Probabilistic Matrix Factorization

Synchronization under control in complex networks for a panic model

Personalized Ranking in Dynamic Graphs Using Nonbacktracking Walks

An Agent-Based Model for Emergent Opponent Behavior

Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval

MeshTrust: A CDN-centric Trust Model for Reputation Management on Video Traffic

Optimizing spatial accessibility of company branches network with Constraints

Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks

A Fast 3D Finite-element Solver for Large-scale Seismic Soil Liquefaction Analysis

Performance Evaluation of Tsunami Inundation Simulation on SX-Aurora TSUBASA

Parallel Computing for Module-Based Computational Experiment

Heuristic Optimization with CPU-GPU Heterogeneous Wave Computing for Estimating Three-dimensional Inner Structure

A Generic Interface for Godunov-type Finite Volume Methods on Adaptive Triangular Meshes

Track of Agent-Based Simulations, Adaptive Algorithms and Solvers

Distributed Memory Parallel Implementation of Agent Based Economic Models

Augmenting Multi-Agent Negotiation in Interconnected Freight Transport Using Complex Networks Analysis

Security-Aware Distributed Job Scheduling in Cloud Computing Systems: A Game-Theoretic Cellular Automata-based Approach

Residual minimization for isogeometric analysis in reduced and mixed Forms

CTCmodeler: an agent-based framework to simulate pathogen transmission along an inter-individual contact network in a hospital

Socio-cognitive ACO in Multi-criteria Optimization

Reconfiguration of the multi-channel communication system with hierarchical structure and distributed passive switching

Multi-agent environment for decision support in production system using machine learning methods

Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning

Biclustering via Mixtures of Regression Models

An Evaluation Metric for Content Providing Models, Recommender Systems and Online Campaigns

Tolerance Near Sets and tNM Application in City Images

Meta-Graph based Attention-aware Recommendation over Heterogeneous Information Networks

Determining Adaptive Loss Functions and Algorithms for Predictive Models

Adaptive Objective Functions and Distance Metrics for Recommendation Systems

An Early Warning Method for Agricultural Products Price Spike Based on Artificial Neural Networks Prediction

Predicting Heart Attack through Explainable Artificial Intelligence

Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems

Dynamic and Distributed Security Management for NoC based MPSoCs

Scalable Fast Multipole Method for Electromagnetic Simulations.

Other Format:

Printed edition:

ISBN:

978-3-030-22741-8

9783030227418

Access Restriction:

Restricted for use by site license.