Although the entire AI boom was triggered by just one ChatGPT model, a lot has changed since 2022. New models have been released, old models have been replaced, updates roll out and roll back ...

The proposed approach comprises two key components: a customized VGG16 architecture and XAI techniques ... Grad-CAM mapping concerning a specific class C with N pixel is explained in Equation 1. The ...

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Accurate breed classification aids in breed identification, disease management, and genetic research. This research aims to evaluate the performance and efficiency of the VGG16 architecture with ...

This study proposes a novel factor-aware, edge computing-based framework, leveraging a customized VGG16 architecture. The framework prioritizes real-time analysis and privacy preservation, ...

VGG16, however, was the least effective, with a precision rate of 83.25%, an F1 score of 83.25%, and a recall of 85.47%. These results confirm the superiority of the Xception model in detecting mango ...

The pre-trained Visual Geometry Group 16 (VGG16) architecture has been used in this study to classification of skin cancer images, and the images have been converted into other color scales, there are ...