Del i serien Studies in Computational Intelligence

Intelligent Systems in Industrial Applications

Häftad, Engelska, 2022

AvMartin Stettinger,Gerhard Leitner,Alexander Felfernig,Zbigniew W. Ras

3 239 kr

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The spectrum of the presented contributions ranges from education and training, industrial applications in production and logistics to the development of new approaches in basic research, which will further expand the possibilities of future applications of AI in industrial settings.

Produktinformation

Utgivningsdatum2022-02-18
Mått155 x 235 x undefined mm
Vikt347 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor208
Upplaga22001
FörlagSpringer Nature Switzerland AG
ISBN9783030675905

Tillhör följande kategorier

Part I: Applications in the Automotive and Transport Sector.- Parameter Tuning for Speed Changes Detection in On-Road Audio Recordings of Single Drives?.- Attempt to better trust classiﬁcation models: Application to the Ageing of Refrigerated Transport Vehicles.- Part II: Perspectives on Artiﬁcial Learning.- Automatic Stopwords Identiﬁcation from Very Small Corpora.- BacAnalytics: A Tool to Support Secondary School Examination inFrance.- Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches.- The Impact of Supercategory Inclusion on Semantic Classiﬁer Performance.- Recognition of the Flue Pipe Type Using Deep Learning.- Part III: Industrial Applications.- Adaptive Autonomous Machines - Modeling and Architecture?.- Automated completion of partial conﬁgurations as a diagnosis task Using FastDiag to improve performance.- Exploring conﬁgurator users’ motivational drivers for digital social interaction.- Impact of the Application of Artiﬁcial IntelligenceTechnologies in a Content Management System of a Media.- A Conversion of Feature Models into an Executable Representation in Microsoft Excel.- Part IV: Basic Research and Algorithmic Problems.- Explainable Artiﬁcial Intelligence. Model Discovery with Constraint Programming.- Deep Distributional Temporal Diﬀerence Learning for Game Playing.