An Empirical Study on Lightweight CNN Models for Efficient Classification of Used Electronic Parts
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References listed on IDEAS
- Ipek Atik, 2022. "Classification of Electronic Components Based on Convolutional Neural Network Architecture," Energies, MDPI, vol. 15(7), pages 1-14, March.
- Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
- Yuanyuan Xu & Genke Yang & Jiliang Luo & Jianan He, 2020. "An Electronic Component Recognition Algorithm Based on Deep Learning with a Faster SqueezeNet," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, October.
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Keywords
convolutional neural network (CNN); deep learning; used electronic components; computer vision; environmental sustainability; green AI; computational efficiency;All these keywords.
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