Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems (Paperback, 2023)

Chapter 1. Machine Learning and Edge Computing for Industry 4.0 Applications: Concepts and Extensive Review.- Chapter 2. Failure detection system controlled by a mixed reality interface.- Chapter 3. Industry 4.0 in the health sector: System for Melanoma Detection.- Chapter 4. Assistive device based on computer vision.- Chapter 5. Development and Evaluation of a Machine-Learning Model for Prediction of Failures in an Injection Molding Process.- Chapter 6. An approach to select an open source ERP for SMEs based on industry 4.0 and digitization considering the SHERPA and WASPAS method.- Chapter 7. The Technological Role of Steepest Ascent Optimization in Industry 4.0 modeling.- Chapter 8. The role of industry 4.0 technologies in the energy transition: conceptual design of intelligent battery management system based on electrochemical impedance spectroscopy analysis.- Chapter 9. Performance analysis of 8-channel WDM optical network with different Optical Amplifiers for Industry 4.0.- Chapter 10. Traffic signs configuration with a geo-simulation approach.- Chapter 11. Emotional diagnosis for employees within the framework of Industry 4.0: a case study in Ciudad Juarez.- Chapter 12. Architecture for Initial States Algorithm for Blockchain Scalability in Local OnPrem IIoT Environments.- Chapter 13. Distribution route optimization using Floyd-Warshall weighted graph analysis algorithm with Google Maps integration in industry 4.0 context.- Chapter 14. Feature Selection in Electroencephalographic Signals Using a Multicriteria Decision Analysis Method.