Image Classification of Graphene Oxide Thin Films’ Sheet Resistance using a Convolution Neural Network
This study focuses on developing a CNN model, VGG-16, to classify microscopy images of graphene oxide thin films produced by two machines; Atomizer 2 and Atomizer 3 based on the sheet resistance values. The methodology begins with preparing microscopic images of graphene oxide thin films dataset. Th...
| الحاوية / القاعدة: | 2024 IEEE 7th International Conference on Electrical, Electronics, and System Engineering: Dissemination and Advancement of Engineering Education using Artificial Intelligence, ICEESE 2024 |
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| المؤلف الرئيسي: | |
| التنسيق: | Conference paper |
| اللغة: | English |
| منشور في: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217396453&doi=10.1109%2fICEESE62315.2024.10828545&partnerID=40&md5=f208c37a81cd53bc6fbb06b3ce32aa28 |