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.