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A Random Forest Based Classifier for Error Prediction of Highly Individualized Products

Autor: Gerd Groner

Publikováno v: Machine Learning for Cyber Physical Systems ISBN: 9783662584842
ML4CPS

This paper presents an application of a random forest based classifier that aims at recognizing flawed products in a highly automated production environment. Within the course of this paper, some data set and application features are highlighted that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c99bda3361fc57f4665948b925fc465f
https://doi.org/10.1007/978-3-662-58485-9_4

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Real-time Cargo Volume Recognition using Internet-connected 3D Scanners

Autor: Felix Föcker, Gerd Groner, Adrian Neubauer, Andreas Metzger, Klaus Pohl

Publikováno v: ENASE

Transport and logistics faces fluctuations in cargo volume that statistically can only be captured with a large error. Observing and managing such dynamic volume fluctuations more effectively promises many benefits such as reducing unused transport c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::373eadfdc7f44350f1b4723952eeeaca
https://doi.org/10.5220/0005377203230330

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