Computational and Statistical Methods in Intelligent Systems

Author:   Radek Silhavy ,  Petr Silhavy ,  Zdenka Prokopova
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   859
ISBN:  

9783030002107


Pages:   386
Publication Date:   30 August 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computational and Statistical Methods in Intelligent Systems


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Overview

This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.

Full Product Details

Author:   Radek Silhavy ,  Petr Silhavy ,  Zdenka Prokopova
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   859
Weight:   0.611kg
ISBN:  

9783030002107


ISBN 10:   3030002101
Pages:   386
Publication Date:   30 August 2018
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

An Analytical Modeling for Leveraging Scalable Communication in IoT for Inter-Domain Routing.- Multi-Hybrid SMOTE Cost Sensitive Ensemble Approach for Software Defect Prediction.- Alternative Approach to Fisher`s Exact Test with Application in Pedagogical Research.- Development of the Forecasting Component of the Decision Support System for the Regulation of Inter-regional Migration Processes.- Using Blockchain Technology to Improve N-version Software Dependability.- Enhancing Feature Selection with Density Cluster for Better Clustering.- Enhancing Concurrent ETL Task Schedule with Altruistic Strategy.- A Binary Percentile Sin-Cosine Optimisation Algorithm Applied to the Set Covering Problem.- Particular Analysis of Normality of Data in Applied Quantitative Research.- Towards Smartphone-based Navigation for Visually Impaired People.

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