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Digital transformation : core technologies and emerging topics from a computer science perspective / / edited by Birgit Vogel-Heuser and Manuel Wimmer
Digital transformation : core technologies and emerging topics from a computer science perspective / / edited by Birgit Vogel-Heuser and Manuel Wimmer
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Berlin, Germany : , : Springer Vieweg, , [2023]
Descrizione fisica 1 online resource (522 pages)
Disciplina 004.6782
Soggetto topico Production engineering - Data processing
Cloud computing
ISBN 3-662-65004-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I - Digital Representation: Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0 -- Designing Strongly-decoupled Industry 4.0 applications across the stack: a use case -- Variability in Products and Production -- Part II - Digital Infrastructures: Reference Architectures for closing the IT/OT gap -- Edge Computing: Use Cases and Research Challenges -- Dynamic Access Control in Industry 4.0 Systems -- Challenges in OT-Security and their Impacts on Safety-related Cyber-Physical Production Systems -- Runtime Monitoring for Systems of System -- Blockchain technologies in the design and operation of cyber-physical systems -- Part III - Data Management: Big Data Integration for Industry 4.0 -- Tons of data - is data quality still an issue? -- Coupling of Top Floor Internal and External Data Exchange Matters -- Part IV - Data Analytics: Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual Modeling Perspective -- Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics -- Process Mining - Discovery, Conformance, and Enhancement of Manufacturing Processes -- Symbolic artificial intelligence methods for prescriptive analytics -- Machine Learning for Cyber-Physical Systems -- Visual Data Science for Industrial Applications -- Part V - Digital Transformation towards Industry 5.0: Self-Adaptive Digital Assistance Systems for Work 4.0 -- Digital Transformation - Towards flexible human-centric enterprises.
Record Nr. UNINA-9910647779903321
Berlin, Germany : , : Springer Vieweg, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital transformation : core technologies and emerging topics from a computer science perspective / / edited by Birgit Vogel-Heuser and Manuel Wimmer
Digital transformation : core technologies and emerging topics from a computer science perspective / / edited by Birgit Vogel-Heuser and Manuel Wimmer
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Berlin, Germany : , : Springer Vieweg, , [2023]
Descrizione fisica 1 online resource (522 pages)
Disciplina 004.6782
Soggetto topico Production engineering - Data processing
Cloud computing
ISBN 3-662-65004-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I - Digital Representation: Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0 -- Designing Strongly-decoupled Industry 4.0 applications across the stack: a use case -- Variability in Products and Production -- Part II - Digital Infrastructures: Reference Architectures for closing the IT/OT gap -- Edge Computing: Use Cases and Research Challenges -- Dynamic Access Control in Industry 4.0 Systems -- Challenges in OT-Security and their Impacts on Safety-related Cyber-Physical Production Systems -- Runtime Monitoring for Systems of System -- Blockchain technologies in the design and operation of cyber-physical systems -- Part III - Data Management: Big Data Integration for Industry 4.0 -- Tons of data - is data quality still an issue? -- Coupling of Top Floor Internal and External Data Exchange Matters -- Part IV - Data Analytics: Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual Modeling Perspective -- Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics -- Process Mining - Discovery, Conformance, and Enhancement of Manufacturing Processes -- Symbolic artificial intelligence methods for prescriptive analytics -- Machine Learning for Cyber-Physical Systems -- Visual Data Science for Industrial Applications -- Part V - Digital Transformation towards Industry 5.0: Self-Adaptive Digital Assistance Systems for Work 4.0 -- Digital Transformation - Towards flexible human-centric enterprises.
Record Nr. UNISA-996546828603316
Berlin, Germany : , : Springer Vieweg, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui