EMBED <iframe src="https://archive.org/embed/sgng.17906-developing-a-framework-for-fake-review-detection-using-deep-learn" width="560" height="384" frameborder="0 ...

Programming languages shape how software, apps, and websites are built, making them one of the most important skills in the modern digital world. With industries shifting toward automation, AI tools, ...

Every single day, over 45% of all emails sent globally are spam. That's roughly 160 billion spam messages flooding inboxes every 24 hours. And the scary part? The old ways of stopping them are dying.

Here’s a list of deep learning projects and ideas, suitable for everyone from beginners to advanced learners. 1. OpenCV Python East Text Detection With Source Code The Text Detection was developed ...

AI coding tools were supposed to make software development faster and easier. They did, but maybe a little too well. People are writing code faster than ever before, and this has created a whole new ...

Diabetic retinopathy (DR) is a major complication of diabetes and a leading cause of vision loss among working-age adults worldwide. Early detection is essential, as timely intervention can prevent or ...

Paste any product review. BERT analyses linguistic patterns and authenticity signals to determine if it's fake or genuine — in under a second. VERITAS.AI is an end-to-end fake review detection system ...

Abstract: Due to the relatively small figure of research conducted on Arabic email spam about the number of Arabic-speaking individuals using the internet, comes challenges related to Natural Language ...

Abstract: Opinions for any product, topic or organization are provided by users on Social networking and E-commerce sites. These opinions have high influence on other users’ purchasing decisions.

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...