Data Science and Intelligent Systems (eBook, PDF)

Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2
Redaktion: Silhavy, Radek; Prokopova, Zdenka; Silhavy, Petr

• Format: PDF

Produktbeschreibung

This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research' papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included.

The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 1056
• Erscheinungstermin: 16. November 2021
• Englisch
• ISBN-13: 9783030903213
• Artikelnr.: 62939067

Inhaltsangabe

Multiple OLAP Reports and the Best Compromise in the Decision-Making Process.- One Step Deep Learning Approach to Grasp Detection in Robotics.- Value Set-Based Numerical Analysis of Robust Stability for Fractional-Order Retarded Quasi-Polynomials with Uncertain Parameters and Uncertain Fractional Orders.- Crisis Risk Management in Organizational Systems.- Fashion Trend Forecasting Using Machine Learning Techniques: A Review.- Development of the Index Paradigm in Remote Sensing of Soil-Vegetable Cover.- Electric and hybrid vehicles: analysis of factors influencing purchase intentions of consumers in Czechia.- The Oil Production Dynamics Analysis in the World for Half a Century in Value Terms.- The Changes Dynamics Analysis in the Japanese Stock Exchange Nikkei^225 Index in the Latest Time.- Image segmentation of acidity of agricultural lands in eastern Siberia.- Management of Documented Information to Ensure Traceability of Radioelectronic Equipment Production Using Software.- Comparingdifferent supervised classification algorithms to detect Arrhythmia in an ECG.