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Industrielle Datenanalyse [[electronic resource] ] : Entwicklung einer Datenanalyse-Plattform für die wertschaffende, kompetenzorientierte Kollaboration in dynamischen Wertschöpfungsnetzwerken / / herausgegeben von Jochen Deuse, Ralf Klinkenberg, Nikolai West
Industrielle Datenanalyse [[electronic resource] ] : Entwicklung einer Datenanalyse-Plattform für die wertschaffende, kompetenzorientierte Kollaboration in dynamischen Wertschöpfungsnetzwerken / / herausgegeben von Jochen Deuse, Ralf Klinkenberg, Nikolai West
Edizione [First edition 2024.]
Pubbl/distr/stampa Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2024
Descrizione fisica 1 online resource (XV, 215 S. 73 Abb., 63 Abb. in Farbe.)
Disciplina 005.73
003.54
Soggetto topico Data structures (Computer science)
Information theory
Database management
Computer engineering
Computer networks
Data Structures and Information Theory
Database Management System
Computer Engineering and Networks
ISBN 3-658-42779-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Vorwort der Herausgeber -- Kurzbeschreibung des Vorhabens -- Fokus Kapitel zum KMU-Nutzen (“Was bringt uns das Projekt?”) -- Entwicklung der Ausgangssituation und Problemstellung im Projektverlauf -- Referenzbaukasten und Bausteine im Forschungsprojekt AKKORD -- LB-1: Kollaborationsmöglichkeiten und Geschäftsmodelle -- LB-2: Kompetenzentwicklung und -sicherung -- LB-3: Analysemodulen für vernetzte und integrierte Daten -- LB-4: Datenerfassung, -integration und -vernetzung -- UC-1: Übergreifendes, prädiktives Industrial Engineering -- UC-2: Datengetriebenes, vernetztes Qualitätsmanagement -- UC-3: Integrierte Datenanalyse zur Kollaboration in der Auftragsplanung UC-4: Potentialanalyse industrielle Datenanalyse in der Produktion -- UC-5: Gerichtete und KMU-gereichte Kompetenzentwicklung -- UC-6: Datenakquisition über I4.0-Technologien -- UC-7: Geschäftsmodellentwicklung -- UC-8: Einführungs- und Roll-Out-Strategien für die industrielle Datenanalyse -- Demonstrator-Beitrag 1 -- Demonstrator-Beitrag 2 -- Würdigung der Projektergebnisse und Ausblick auf Anschlusstätigkeiten.
Record Nr. UNINA-9910799281403321
Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Edizione [1st ed.]
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2022]
Descrizione fisica 1 online resource (VIII, 470 p.)
Disciplina 006.31
Collana De Gruyter STEM
Soggetto topico SCIENCE / Chemistry / General
Soggetto non controllato Artificial Intelligence
Big Data and Machine Learning
Cyber-physical systems
Data mining for Ubiquitous System Software
Embedded Systems and Machine Learning
Highly Distributed Data
ML on Small devices
Machine learning for knowledge discovery
Machine learning in high-energy physics
Resource-Aware Machine Learning
Resource-Constrained Data Analysis
ISBN 3-11-078598-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- 1 Editorial -- 2 Health / Medicine -- 2.1 Machine Learning in Medicine -- 2.2 Virus Detection -- 2.3 Cancer Diagnostics and Therapy from Molecular Data -- 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction -- 2.5 Survival Prediction and Model Selection -- 2.6 Protein Complex Similarity -- 3 Industry 4.0 -- 3.1 Keynote on Industry 4.0 -- 3.2 Quality Assurance in Interlinked Manufacturing Processes -- 3.3 Label Proportion Learning -- 3.4 Simulation and Machine Learning -- 3.5 High-Precision Wireless Localization -- 3.6 Indoor Photovoltaic Energy Harvesting -- 3.7 Micro-UAV Swarm Testbed for Indoor Applications -- 4 Smart City and Traffic -- 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors -- 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows -- 4.3 Green Networking and Resource Constrained Clients for Smart Cities -- 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing -- 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata -- 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms -- 5 Communication Networks -- 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum -- 5.2 Resource-Efficient Vehicle-to-Cloud Communications -- 5.3 Mobile-Data Network Analytics Highly Reliable Networks -- 5.4 Machine Learning-Enabled 5G Network Slicing -- 5.5 Potential of Millimeter Wave Communications -- 6 Privacy -- 6.1 Keynote: Construction of Inference-Proof Agent Interactions -- Bibliography -- Index -- List of Contributors
Record Nr. UNISA-996503570503316
Berlin ; ; Boston : , : De Gruyter, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Edizione [1st ed.]
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2022]
Descrizione fisica 1 online resource (VIII, 470 p.)
Disciplina 006.31
Collana De Gruyter STEM
Soggetto topico SCIENCE / Chemistry / General
Soggetto non controllato Artificial Intelligence
Big Data and Machine Learning
Cyber-physical systems
Data mining for Ubiquitous System Software
Embedded Systems and Machine Learning
Highly Distributed Data
ML on Small devices
Machine learning for knowledge discovery
Machine learning in high-energy physics
Resource-Aware Machine Learning
Resource-Constrained Data Analysis
ISBN 3-11-078598-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- 1 Editorial -- 2 Health / Medicine -- 2.1 Machine Learning in Medicine -- 2.2 Virus Detection -- 2.3 Cancer Diagnostics and Therapy from Molecular Data -- 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction -- 2.5 Survival Prediction and Model Selection -- 2.6 Protein Complex Similarity -- 3 Industry 4.0 -- 3.1 Keynote on Industry 4.0 -- 3.2 Quality Assurance in Interlinked Manufacturing Processes -- 3.3 Label Proportion Learning -- 3.4 Simulation and Machine Learning -- 3.5 High-Precision Wireless Localization -- 3.6 Indoor Photovoltaic Energy Harvesting -- 3.7 Micro-UAV Swarm Testbed for Indoor Applications -- 4 Smart City and Traffic -- 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors -- 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows -- 4.3 Green Networking and Resource Constrained Clients for Smart Cities -- 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing -- 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata -- 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms -- 5 Communication Networks -- 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum -- 5.2 Resource-Efficient Vehicle-to-Cloud Communications -- 5.3 Mobile-Data Network Analytics Highly Reliable Networks -- 5.4 Machine Learning-Enabled 5G Network Slicing -- 5.5 Potential of Millimeter Wave Communications -- 6 Privacy -- 6.1 Keynote: Construction of Inference-Proof Agent Interactions -- Bibliography -- Index -- List of Contributors
Record Nr. UNINA-9910774815903321
Berlin ; ; Boston : , : De Gruyter, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Die Primäre Produktion : Ein praktischer Leitfaden zur verlustfreien Wertschöpfung / / von Bruno Lotter, Jochen Deuse, Edwin Lotter
Die Primäre Produktion : Ein praktischer Leitfaden zur verlustfreien Wertschöpfung / / von Bruno Lotter, Jochen Deuse, Edwin Lotter
Autore Lotter Bruno
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2016
Descrizione fisica 1 online resource (XVI, 208 S. 153 Abb., 25 Abb. in Farbe.)
Disciplina 658.5
Collana VDI-Buch
Soggetto topico Engineering economics
Engineering economy
Engineering design
Industrial organization
Engineering Economics, Organization, Logistics, Marketing
Engineering Design
Industrial Organization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Einführung -- Produktionsgerechte Produktgestaltung -- Primär-Sekundär-Analyse -- Globalisierung und demografischer Wandel -- Qualifizierung der Mitarbeiter -- Wirtschaftlichkeit und Ergonomie - kein Gegensatz -- Wiederverwendung von Produktionssystemen -- Wirtschaftlicher Roboter Einsatz -- Praxisbeispiele für ergonomisch-wirtschaftliche Montagelösungen -- Zeitwirtschaft in der industriellen Produktion -- Zusammenfassung.
Record Nr. UNINA-9910155325103321
Lotter Bruno  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui