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The first method is a Feed Forward Neural Network (FFNN) utilizing the specific features of both the GoogLeNet and DenseNet-121 models, each considered independently. Following high-dimensional feature extraction from GoogLeNet and Dense-121 models, the second methodology integrates PCA-based dimensionality reduction prior to feeding the data to the FFNN network. The third methodology utilizes