Computational and Statistical Methods in Intelligent Systems

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.

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.