Towards Digital Intelligence Society (eBook, PDF)

A Knowledge-based Approach
Redaktion: Paralic, Ján; Marík, Vladimír; Hartono, Pitoyo; Sincák, Peter

• Format: PDF

Produktbeschreibung

This book aims to provide readers with up-to-date knowledge on how to make these technologies smarter. Humanity is now going through difficult times to fight the Covid-19 pandemic. Simultaneously, in these difficult times of physical separation, we can also realize how much digital society technology helps us cope with many difficulties that bring us this time. The authors focus on selected research challenges for intelligent digital society and state-of-the-art methods of how to face them.

The book's subtitle suggests that a core concept that the reader can study from various points of view in particular book chapters is the knowledge. The knowledge that can help us intelligently face different digital society challenges (Part I of this book); the knowledge extracted from available big data employing intelligent analysis techniques (Part II). For efficient processing and analysis of data, there is a strong need for smart data and information modeling techniques (Part III).

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 204
• Erscheinungstermin: 21. Dezember 2020
• Englisch
• ISBN-13: 9783030638726
• Artikelnr.: 61380602

Inhaltsangabe

Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches.- Application and Perspectives of Convolutional Neural Networks in Digital Intelligence.- Obstacle Awareness Subsystem for Higher Exoskeleton Safety.- Knowledge-Based Approaches to Intelligent Data Analysis.- Intelligent Analysis of Data Streams.- Large Astronomical Time Series Pre-processing for Classification using Artificial Neural Networks.- Requirements for Information Modelling in Manufacturing.- Attribute exploration in formal concept analysis and measuring of pupils' computational thinking.- Flower Master Index for relational database selection and joining.

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