Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III

Author:   João M. F. Rodrigues ,  Pedro J. S. Cardoso ,  Janio Monteiro ,  Roberto Lam
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11538
ISBN:  

9783030227432


Pages:   731
Publication Date:   08 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III


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Author:   João M. F. Rodrigues ,  Pedro J. S. Cardoso ,  Janio Monteiro ,  Roberto Lam
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11538
Weight:   1.133kg
ISBN:  

9783030227432


ISBN 10:   303022743
Pages:   731
Publication Date:   08 June 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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 Algorithmfor 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.

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