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Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems

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Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning and Edge Computing for Industry 4.0 Applications: Concepts and Extensive Review
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    Chapter 2 Failure Detection System Controlled by a Mixed Reality Interface
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    Chapter 3 Industry 4.0 in the Health Sector: System for Melanoma Detection
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    Chapter 4 Assistive Device for the Visually Impaired Based on Computer Vision
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    Chapter 5 Development and Evaluation of a Machine Learning Model for the Prediction of Failures in an Injection Moulding Process
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    Chapter 6 An Approach to Select an Open Source ERP for SMEs Based on Industry 4.0 and Digitization Considering the SHERPA and WASPAS Methods
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    Chapter 7 The Technological Role of Steepest Ascent Optimization in Industry 4.0 Modeling
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    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
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    Chapter 9 Performance Analysis of Eight-Channel WDM Optical Network with Different Optical Amplifiers for Industry 4.0
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    Chapter 10 Traffic Signs Configuration with a Geo-simulation Approach
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    Chapter 11 Emotional Diagnosis for Employees Within the Framework of Industry 4.0: A Case Study in Ciudad Juarez
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    Chapter 12 Architecture for Initial States Algorithm for Blockchain Scalability in Local OnPrem IIoT Environments
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    Chapter 13 Distribution Route Optimization Using Floyd-Warshall Weighted Graph Analysis Algorithm with Google Maps Integration in Industry 4.0 Context
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    Chapter 14 Feature Selection in Electroencephalographic Signals Using a Multicriteria Decision Analysis Method
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Title
Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems
Published by
Springer International Publishing, June 2023
DOI 10.1007/978-3-031-29775-5
ISBNs
978-3-03-129774-8, 978-3-03-129775-5
Editors

Méndez-González, Luis Carlos, Rodríguez-Picón, Luis Alberto, Pérez Olguín, Iván Juan Carlos

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