An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning

This paper presents an automated inspection and classification system for automotive component remanufacturing industry, based on ensemble learning. The system is based on different stages allowing to classify the components as good, rectifiable or rejection according to the manufacturer criteria. A...

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מידע ביבליוגרפי

Principais autores:	Fátima A. Saiz, Garazi Alfaro, Iñigo Barandiaran
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2021-11-01
סדרה:	Information
נושאים:	quality inspection deep learning ensemble learning component remanufacturing automotive industry
גישה מקוונת:	https://www.mdpi.com/2078-2489/12/12/489
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!