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  • Search: subject:"Image recognition"
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Year of publication
Subject
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image recognition 5 convolutional neural networks 2 driving styles 2 machine learning 2 pattern recognition 2 telematics car driving data 2 transfer learning 2 Artificial intelligence 1 Automotive industry 1 Bilderkennung 1 Computer vision 1 Copula 1 Customer integration 1 Deep learning 1 Experiment 1 Factory automation 1 Fault inspection 1 Feldforschung 1 Field research 1 Kfz-Industrie 1 Kraftfahrzeug 1 Kundenintegration 1 Künstliche Intelligenz 1 Learning process 1 Lernprozess 1 Maschinelles Lernen 1 Modellierung 1 Motor vehicle 1 Multivariate Verteilung 1 Multivariate distribution 1 Neural networks 1 Neuronale Netze 1 Orthophotos 1 Pattern and image recognition 1 Perception 1 Road transport 1 Scientific modelling 1 Semiconductor manufacturing 1 Social Web 1 Social network 1
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Online availability
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Free 6
Type of publication
All
Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article 3 Article in journal 2 Aufsatz in Zeitschrift 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 5 German 1
Author
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Gao, Guangyuan 2 Wüthrich, Mario V. 2 Beuth, Frederik 1 Friedrich, Michael 1 Huang, Justin T. 1 Kaul, Rupali 1 Kowerko, Danny 1 Narayanan, Sridhar 1 Schlosser, Tobias 1 Stäger, Elena 1 Tsanakas, Andreas 1 Zhu, Rui 1
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Published in...
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ASTIN bulletin : the journal of the International Actuarial Association 1 Journal of Intelligent Manufacturing 1 Risks 1 Risks : open access journal 1 Stanford University Graduate School of Business Research Paper 1 WISTA - Wirtschaft und Statistik 1
Source
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ECONIS (ZBW) 3 EconStor 3
Showing 1 - 6 of 6
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Neuronale Netze in der Baustatistik: Automatisiertes Erkennen von Baustellen anhand von Luftbildern
Stäger, Elena - In: WISTA - Wirtschaft und Statistik 77 (2025) 2, pp. 136-147
Können Methoden der Künstlichen Intelligenz helfen, Baustellenaktivitäten in Nordrhein-Westfalen zu erfassen und somit mehr Informationen über das dortige Baugeschehen zu erhalten? Der Artikel untersucht ob es möglich ist, einen Datensatz zu erstellen, um einen Algorithmus zu trainieren,...
Persistent link: https://www.econbiz.de/10015395879
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Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks
Schlosser, Tobias; Friedrich, Michael; Beuth, Frederik; … - In: Journal of Intelligent Manufacturing 33 (2022) 4, pp. 1099-1123
In the semiconductor industry, automated visual inspection aims to improve the detection and recognition of manufacturing defects by leveraging the power of artificial intelligence and computer vision systems, enabling manufacturers to profit from an increased yield and reduced manufacturing...
Persistent link: https://www.econbiz.de/10015192812
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The Causal Effect of Attention and Recognition on the Nature of User-Generated Content : Experimental Results from an Image-Sharing Social Network
Huang, Justin T.; Kaul, Rupali; Narayanan, Sridhar - 2022
Social networks rely on sharing engaging content for their users. Since continued production of user-generated content is critical to their success, they have constructed a variety of tools to motivate new content creation, to facilitate user discovery of new content, and to provide attention...
Persistent link: https://www.econbiz.de/10014078983
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Selecting bivariate copula models using image recognition
Tsanakas, Andreas; Zhu, Rui - In: ASTIN bulletin : the journal of the International … 52 (2022) 3, pp. 707-734
Persistent link: https://www.econbiz.de/10013426646
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Convolutional neural network classification of telematics car driving data
Gao, Guangyuan; Wüthrich, Mario V. - In: Risks 7 (2019) 1, pp. 1-18
The aim of this project is to analyze high-frequency GPS location data (second per second) of individual car drivers (and trips). We extract feature information about speeds, acceleration, deceleration, and changes of direction from this high-frequency GPS location data. Time series of this...
Persistent link: https://www.econbiz.de/10013200424
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Convolutional neural network classification of telematics car driving data
Gao, Guangyuan; Wüthrich, Mario V. - In: Risks : open access journal 7 (2019) 1/6, pp. 1-18
The aim of this project is to analyze high-frequency GPS location data (second per second) of individual car drivers (and trips). We extract feature information about speeds, acceleration, deceleration, and changes of direction from this high-frequency GPS location data. Time series of this...
Persistent link: https://www.econbiz.de/10012018697
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