Computational and Statistical Methods in Intelligent Systems
Editors: Silhavy, Radek, Silhavy, Petr, Prokopova, Zdenka (Eds.)
Free Preview- Presents the latest research on Computational and Statistical Methods in Intelligent Systems
- Gathers the Proceedings of the Computational Methods in Systems and Software 2018 (CoMeSySo 2018) conference, which was held online from September 12 to 14, 2018
- Written by respected experts in the field
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- About this book
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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.
- Table of contents (33 chapters)
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An Analytical Modeling for Leveraging Scalable Communication in IoT for Inter-Domain Routing
Pages 1-11
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Cost-Sensitive Learner on Hybrid SMOTE-Ensemble Approach to Predict Software Defects
Pages 12-21
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A Compressive Sensing Based Channel Estimator and Detection System for MIMO-OFDMA System
Pages 22-31
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A Novel Approach to the Potentially Hazardous Text Identification Under Theme Uncertainty Based on Intelligent Data Analysis
Pages 32-38
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Towards a Message Broker Based Platform for Real-Time Streaming of Urban IoT Data
Pages 39-49
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Table of contents (33 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computational and Statistical Methods in Intelligent Systems
- Editors
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- Radek Silhavy
- Petr Silhavy
- Zdenka Prokopova
- Series Title
- Advances in Intelligent Systems and Computing
- Series Volume
- 859
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-00211-4
- DOI
- 10.1007/978-3-030-00211-4
- Softcover ISBN
- 978-3-030-00210-7
- Series ISSN
- 2194-5357
- Edition Number
- 1
- Number of Pages
- XIV, 386
- Number of Illustrations
- 160 b/w illustrations
- Topics
