Abstract: Intrusion warning systems serve as the first line of defense against unauthorized access, theft, vandalism, and other security breaches in both residential and commercial settings. Automated ...
Abstract: This paper presents a deep learning based approach to improve the accuracy of glaucoma detection using the EfficientNetB3, ResNet, and vison transformer (ViT) model. We propose a unique ...
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