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001469819 001__ 1469819
001469819 003__ OCoLC
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001469819 020__ $$a9783031297755$$q(electronic bk.)
001469819 020__ $$a303129775X$$q(electronic bk.)
001469819 020__ $$z9783031297748
001469819 020__ $$z3031297741
001469819 0247_ $$a10.1007/978-3-031-29775-5$$2doi
001469819 035__ $$aSP(OCoLC)1383659893
001469819 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF
001469819 049__ $$aISEA
001469819 050_4 $$aT59.6
001469819 08204 $$a658.4/038028563$$223/eng/20230620
001469819 24500 $$aInnovation and competitiveness in industry 4.0 based on intelligent systems /$$cLuis Carlos Méndez-González, Luis Alberto Rodríguez-Picón, Iván Juan Carlos Pérez Olguín, editors.
001469819 264_1 $$aCham :$$bSpringer,$$c[2023]
001469819 264_4 $$c©2023
001469819 300__ $$a1 online resource (x, 338 pages) :$$billustrations (chiefly color).
001469819 336__ $$atext$$btxt$$2rdacontent
001469819 337__ $$acomputer$$bc$$2rdamedia
001469819 338__ $$aonline resource$$bcr$$2rdacarrier
001469819 4901_ $$aEAI/Springer innovations in communication and computing
001469819 500__ $$aIncludes index.
001469819 5050_ $$aChapter 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.
001469819 506__ $$aAccess limited to authorized users.
001469819 520__ $$aThis book presents a series of applications of different techniques found in Industry 4.0 concerning productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtained towards different types of companies that wish to undertake in the new era of the digital industrial revolution. This book can also help students from different engineering areas to understand how new technologies are applied to solve current relevant problems and how they give the possibility of constant innovation in the different industrial sectors. The above is accomplished through the analysis of illustrative case studies, descriptive methodologies, and structured insights provided through the different techniques. Presents applications of techniques found in Industry 4.0 with relation to critical issues in business operation; Includes mathematical and technical methodologies applied in cases of study of Industry 4.0; Features applications associated with smart manufacturing in specific scenarios and their resolution through machine learning.
001469819 588__ $$aDescription based on print version record.
001469819 650_0 $$aIndustry 4.0.
001469819 650_0 $$aCompetition.
001469819 655_0 $$aElectronic books.
001469819 7001_ $$aMéndez-González, Luis Carlos,$$eeditor.
001469819 7001_ $$aRodríguez-Picón, Luis Alberto,$$eeditor.
001469819 7001_ $$aPérez Olguín, Iván Juan Carlos,$$eeditor.
001469819 77608 $$iPrint version:$$tInnovation and competitiveness in industry 4.0 based on intelligent systems.$$dCham : Springer, 2023$$z9783031297748$$w(OCoLC)1381126062
001469819 830_0 $$aEAI/Springer innovations in communication and computing.
001469819 852__ $$bebk
001469819 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29775-5$$zOnline Access$$91397441.1
001469819 909CO $$ooai:library.usi.edu:1469819$$pGLOBAL_SET
001469819 980__ $$aBIB
001469819 980__ $$aEBOOK
001469819 982__ $$aEbook
001469819 983__ $$aOnline
001469819 994__ $$a92$$bISE