A comparison of machine learning approaches for predicting in-car display production quality

In this paper, we explore eight Machine Learning (ML) approaches (binary and one-class) to predict the quality of in-car displays, measured using Black Uniformity (BU) tests. During production, the industrial manufacturer routinely executes intermediate assembly (screwing and gluing) and functional...

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Bibliographic Details
Main Author: Matos, Luís Miguel (author)
Other Authors: Domingues, André (author), Moreira, Guilherme (author), Cortez, Paulo (author), Pilastri, André Luiz (author)
Format: conferencePaper
Language:eng
Published: 2021
Subjects:
Anomaly Detection
One-class learning
Automated Machine Learning
Deep Learning
Explainable artificial intelligence
Supervised Learning
Ciências Naturais::Ciências da Computação e da Informação
Indústria, inovação e infraestruturas
Online Access:http://hdl.handle.net/1822/74781
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/74781

Internet

http://hdl.handle.net/1822/74781

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