Machine learning for cyber physical systems: selected papers from the International Conference ML4CPS 2015
Gespeichert in:
| Körperschaft: | |
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| Weitere Verfasser: | , |
| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Springer Vieweg
[2016]
|
| Schriftenreihe: | Technologien für die intelligente Automation
Band 1 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract Inhaltsverzeichnis |
| Beschreibung: | 1 Online Ressource (VI, 121 Seiten) |
| ISBN: | 9783662488386 |
| DOI: | 10.1007/978-3-662-48838-6 |
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Datensatz im Suchindex
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| adam_text | MACHINE LEARNING FOR CYBER PHYSICAL SYSTEMS
/
: 2016
ABSTRACT / INHALTSTEXT
THE WORK PRESENTS NEW APPROACHES TO MACHINE LEARNING FOR CYBER PHYSICAL
SYSTEMS, EXPERIENCES AND VISIONS. IT CONTAINS SOME SELECTED PAPERS FROM
THE INTERNATIONAL CONFERENCE ML4CPS – MACHINE LEARNING FOR CYBER
PHYSICAL SYSTEMS, WHICH WAS HELD IN LEMGO, OCTOBER 1-2, 2015. CYBER
PHYSICAL SYSTEMS ARE CHARACTERIZED BY THEIR ABILITY TO ADAPT AND TO
LEARN: THEY ANALYZE THEIR ENVIRONMENT AND, BASED ON OBSERVATIONS, THEY
LEARN PATTERNS, CORRELATIONS AND PREDICTIVE MODELS. TYPICAL APPLICATIONS
ARE CONDITION MONITORING, PREDICTIVE MAINTENANCE, IMAGE PROCESSING AND
DIAGNOSIS. MACHINE LEARNING IS THE KEY TECHNOLOGY FOR THESE DEVELOPMENTS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
MACHINE LEARNING FOR CYBER PHYSICAL SYSTEMS
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
DEVELOPMENT OF A CYBER-PHYSICAL SYSTEM BASED ON SELECTIVE DYNAMIC
GAUSSIAN NAIVE BAYES MODEL FOR A SELF-PREDICT LASER SURFACE HEAT
TREATMENT PROCESS CONTROL
EVIDENCE GRID BASED INFORMATION FUSION FOR SEMANTIC CLASSIFIERS IN
DYNAMIC SENSOR NETWORKS
FORECASTING CELLULAR CONNECTIVITY FOR CYBER- PHYSICAL SYSTEMS: A MACHINE
LEARNING APPROACH
TOWARDS OPTIMIZED MACHINE OPERATIONS BY CLOUD INTEGRATED CONDITION
ESTIMATION
PROGNOSTICS HEALTH MANAGEMENT SYSTEM BASED ON HYBRID MODEL TO PREDICT
FAILURES OF A PLANETARY GEAR TRANSMISSION
EVALUATION OF MODEL-BASED CONDITION MONITORINGSYSTEMS IN INDUSTRIAL
APPLICATION CASES
TOWARDS A NOVEL LEARNING ASSISTANT FOR NETWORKED AUTOMATION SYSTEMS
EFFCIENT IMAGE PROCESSING SYSTEM FOR ANINDUSTRIAL MACHINE LEARNING
TASK
EFFICIENT ENGINEERING IN SPECIAL PURPOSE MACHINERY THROUGH AUTOMATED
CONTROL CODE SYNTHESIS BASED ON A FUNCTIONALCATEGORISATION
GEO-DISTRIBUTED ANALYTICS FOR THE INTERNET OF THINGS
IMPLE MENTATION AND COMPARISON OF CLUSTER-BASED PSO EXTENSIONS IN
HYBRIDSETTINGS WITH EFFICIENT APPROXIMATION
MACHINE-SPECIFC APPROACH FOR AUTOMATIC CLASSIFCATION OF CUTTING PROCESS
EFFICIENCY
META-ANALYSIS OF MAINTENANCEKNOWLEDGE ASSETS TOWARDS PREDICTIVE COST
CONTROLLING OF CYBER PHYSICAL PRODUCTION SYSTEMS
TOWARDS AUTONOMOUSLY NAVIGATING AND COOPERATINGVEHICLES IN
CYBER-PHYSICAL PRODUCTION SYSTEMS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| author_facet | Niggemann, Oliver 1971- Beyerer, Jürgen 1961- International Conference ML4CPS Lemgo |
| author_sort | International Conference ML4CPS Lemgo |
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| dewey-search | 006.3 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-662-48838-6 |
| format | Electronic Conference Proceeding eBook |
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| indexdate | 2024-08-01T12:13:02Z |
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| institution_GND | (DE-588)1095682628 |
| isbn | 9783662488386 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028840892 |
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| publishDateSearch | 2016 |
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| publisher | Springer Vieweg |
| record_format | marc |
| series | Technologien für die intelligente Automation |
| series2 | Technologien für die intelligente Automation |
| spellingShingle | Machine learning for cyber physical systems selected papers from the International Conference ML4CPS 2015 Technologien für die intelligente Automation Engineering Knowledge management Data mining Computational intelligence Computational Intelligence Data Mining and Knowledge Discovery Knowledge Management Ingenieurwissenschaften |
| subject_GND | (DE-588)1071861417 |
| title | Machine learning for cyber physical systems selected papers from the International Conference ML4CPS 2015 |
| title_auth | Machine learning for cyber physical systems selected papers from the International Conference ML4CPS 2015 |
| title_exact_search | Machine learning for cyber physical systems selected papers from the International Conference ML4CPS 2015 |
| title_full | Machine learning for cyber physical systems selected papers from the International Conference ML4CPS 2015 Oliver Niggemann, Jürgen Beyerer (Eds.) |
| title_fullStr | Machine learning for cyber physical systems selected papers from the International Conference ML4CPS 2015 Oliver Niggemann, Jürgen Beyerer (Eds.) |
| title_full_unstemmed | Machine learning for cyber physical systems selected papers from the International Conference ML4CPS 2015 Oliver Niggemann, Jürgen Beyerer (Eds.) |
| title_short | Machine learning for cyber physical systems |
| title_sort | machine learning for cyber physical systems selected papers from the international conference ml4cps 2015 |
| title_sub | selected papers from the International Conference ML4CPS 2015 |
| topic | Engineering Knowledge management Data mining Computational intelligence Computational Intelligence Data Mining and Knowledge Discovery Knowledge Management Ingenieurwissenschaften |
| topic_facet | Engineering Knowledge management Data mining Computational intelligence Computational Intelligence Data Mining and Knowledge Discovery Knowledge Management Ingenieurwissenschaften Konferenzschrift |
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