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Computational and Statistical Methods in Intelligent Systems / edited by Radek Silhavy, Petr Silhavy, Zdenka Prokopova

Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Advances in Intelligent Systems and Computing ; 859 | SpringerLink BücherVerlag: Cham : Springer International Publishing, 2019Beschreibung: Online-Ressource (XIV, 386 p. 160 illus, online resource)ISBN:
  • 9783030002114
Schlagwörter: Andere physische Formen: 9783030002107 | 9783030002121 | Erscheint auch als: 978-3-030-00210-7 Druck-Ausgabe | Printed edition: 9783030002107 | Printed edition: 9783030002121 DDC-Klassifikation:
  • 006.3
LOC-Klassifikation:
  • Q342
DOI: DOI: 10.1007/978-3-030-00211-4Online-Ressourcen: Zusammenfassung: 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 resultsZusammenfassung: 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 PeoplePPN: PPN: 1030105537Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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Reproduktion. (Springer eBook Collection. Intelligent Technologies and Robotics)