Computational Science - ICCS 2019 : 19th International Conference, Faro, Portugal, June 12-14, 2019, Proceedings, Part III / 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, 11538.

Theoretical Computer Science and General Issues ; 11538

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 (XX, 731 pages) : 424 illustrations, 230 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:

Track of Biomedical and Bioinformatics Challenges for Computer Science

Parallelization of an algorithm for automatic classification of medical data

The Chain Alignment Problem

Comparing Deep and Machine Learning approaches in bioinformatics: a miRNA-target prediction case study

Automated epileptic seizure detection method based on the multi-attribute EEG feature pool and mRMR feature selection method

An Approach for Semantic Data Integration in Cancer Studies

A Study of the Electrical Propagation in Purkinje Fibers

A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction

A multi-objective artificial bee colony algorithm for the 3-D protein structure prediction problem

Combining Polynomial Chaos Expansions and Genetic Algorithm for the coupling of electrophysiological models

A cloud architecture for the execution of medical imaging biomarkers

A Self-Adaptive Local Search Coordination in Multimeme Memetic Algorithm for Molecular Docking

Parallel CT reconstruction for multiple slices studies with SuiteSparseQR factorization package

Track of Classifier Learning from Difficult Data

ARFF data source library for distributed single/multiple instance, single/multiple output learning on Apache Spark

On the role of cost-sensitive learning in imbalanced data oversampling

Characterization of Handwritten Signature Images in Dissimilarity Representation Space

Missing Features Reconstruction and Its Impact on Classification Accuracy

A Deep Malware Detection Method Based on General-Purpose Register Features

A Novel Distribution Analysis for SMOTE oversampling method in Handling Class Imbalance

Forecasting purchase categories by transactional data: a comparative study of classification methods

Recognizing Faults in Software Related Dicult Data

Track of Computational Finance and Business Intelligence

Research on Knowledge Discovery in Database of Traffic Flow State Based on Attribute Reduction

Factor Integration based on Neural Networks for Factor Investing

Brief Survey of Relation Extraction based on Distant Supervision

Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network

Portfolio Selection based on Hierarchical Clustering and Inverse-variance Weighting

A computational Technique for Asian option pricing model

Improving portfolio optimization using weighted link prediction in dynamic stock networks

Track of Computational Optimization, Modelling and Simulation

Comparison of Constraint-Handling Techniques for Metaheuristic Optimization

Dynamic Partitioning of Evolving Graph Streams using Nature-inspired Heuristics

Bat Algorithm for Kernel Computation in Fractal Image Reconstruction

Heuristic Rules for Coordinated Resources Allocation and Optimization in Distributed Computing

Nonsmooth Newton's Method: Some Structure Exploitation

Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks

Application of the model with a non-Gaussian linear scalar filters to determine life expectancy, taking into account the cause of death

Improving ODE integration on graphics processing units by reducing thread divergence

Data Compression for Optimization of Molecular Dynamics System: Preserving Basins of Attraction

An algorithm to perform hydraulic tomography based on a mixture model

Rapid Multi-Band Patch Antenna Yield Estimation Using Polynomial Chaos-Kriging

Accelerating Limited-Memory Quasi-Newton Convergence for Large-Scale Optimization

Reduced-Cost Design Optimization of High-Frequency Structures Using Adaptive Jacobian Updates

An Algorithm for Selecting Measurements with High Information Content Regarding Parameter Identification

Optimizing parallel performance of the cell based blood flow simulation software HemoCell

Surrogate-based optimisation of tidal turbine arrays: A case study for the Faro-Olhão Inlet

Time-dependent link travel time approximation for large-scale dynamic traffic simulations

Evaluation of the Suitability of Intel Xeon Phi Clusters for the Simulation of Ultrasound Wave Propagation using Pseudospectral Methods

Track of Computational Science in IoT and Smart Systems

Fog computing architecture based blockchain for industrial IoT

Exploration of Data from Smart Bands in the Cloud and on the Edge - the Impact on the Data Storage Space

Security of Low Level IoT Protocols

FogFlow - computation organization for heterogeneous Fog computing Environments

Research and Implementation of an Aquaculture Monitoring System Based on Flink, MongoDB and Kafka

Enhanced Hydroponic Agriculture Environmental Monitoring: An Internet of Things Approach

Noise Mapping through Mobile Crowdsourcing for Enhanced Living Environments

Environmental Quality Supervision for Enhanced Living Environments and Laboratory Activity Support using IBM Watson Internet of Things Platform

Combining Data from Fitness Trackers with Meteorological Sensor Measurements for Enhanced Monitoring of Sports Performance

Collaborative Learning Agents (CLA) for Swarm Intelligence and Application to Health Monitoring of System of Systems

Computationally Efficient Classification of Audio Events Using Binary Masked Cochleagrams.

Other Format:

Printed edition:

ISBN:

978-3-030-22744-9

9783030227449

Access Restriction:

Restricted for use by site license.