Technological and Industrial Applications Associated With Industry 4.0

1. Auflage 2022
ISBN: 978-3-030-68662-8
Verlag: Springer International Publishing

Buch, Englisch, Band 347, 340 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 694 g

Reihe: Studies in Systems, Decision and Control

This book includes chapters related to the analysis of cultural differences as a tool to enrich tacit knowledge and make processes more efficient, the factors that influence job satisfaction and the value of social capital as a competitive strategy to achieve productivity and competitiveness of organizations, in addition to research of the utmost importance to discover the facets of the diamond with respect to the symbolic capital of the organizations where Generation Z will work and how it will discover the best time to establish an innovation ecosystem that will influence its work trajectory. Industry 4.0 requires a major paradigm shift, since human capital is a source of competitive advantage.

Being competitive enables to a company, a region, a society or a country the power to advance in different areas, contributing to the benefit of a social group, therefore, and organizations need to make efforts that lead to adding value and generate a competitive advantage. Industrialapplications based on artificial intelligence can change our lives in just one generation. The chapters in this book show progress and challenges related to real-world applications, as well as the need to strengthen human capital to achieve systemic and comprehensive competitiveness required in the XXI century.

Zielgruppe

Research

Autoren/Hrsg.

Ochoa-Zezzatti, Alberto

Hassanien, Aboul Ella

Oliva, Diego

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Implementation of an intelligent model based on Convolutional Neural Network for the detection of diseases in citrus crops caused by bird pests using an intelligent drone.- Intelligent application to detection of arachnid bites in children implementing deep learning techniques, an AmI-based solution.- Financial analysis over the smartest companies.