Abstract: This research paper presents a comprehensive approach for extracting and classifying text from images using computer vision and deep learning techniques. We demonstrate a step-by-step ...

To tackle the challenging image tampering detection problem, this article presents an attentional cross-domain deep architecture, which can be trained end-to-end. This architecture is composed of ...

Abstract: This work evaluates neutron-induced soft errors in an image classification all-convolutional neural ... shown that the HLS architecture presents better reliability than the CNN running on ...

Machine Learning Techniques, specifically Convolutional Neural Networks (CNN) VGG16 model is used to train dataset and use trained model to predict, have been developed in this project. Four distinct ...