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...
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