Alleviate Data Scarcity in Remanufacturing: Classifying the Reusability of Parts with Data-Efficient Generative Adversarial Networks (DE-GANs)

Remanufacturing, a key element of the circular economy, enables products and parts to have new life cycles through a systematic process. Initially, used products (cores) are visually inspected and categorized according to their manufacturer and variant before being disassembled and cleaned. Subseque...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Maximilian Herold, Engjëll Ahmeti, Naga Sai Teja Kolakaleti, Cagatay Odabasi, Jan Koller, Frank Döpper
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	DE-GAN remanufacturing generative adversarial network computer vision deep learning neural networks
Online Access:	https://www.mdpi.com/2076-3417/15/17/9833