NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system asks a ...

Using GitHub Pages and a simple PowerShell script, the author created a free, static web page to showcase years of published articles. An AI-assisted "vibe coding" approach with ChatGPT was used to ...

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.

5,572 SMS messages. 747 spam. Can a custom neural network compete with BERT? This project compares three deep learning approaches to SMS spam detection: a custom LSTM architecture built from scratch, ...

Frying Spam delivers a crunchy, deep-fried comfort classic that’s as indulgent as it is questionable. Michelle Obama reveals what she'd want her husband to do if Trump ran for a third term One of the ...

Spam traffic distorts your analytics data, which can lead to poor marketing decisions based on false performance signals. It’s become more visible in Google Analytics 4. Compared to Universal ...

The proliferation of digital platforms has enabled fraudsters to deploy sophisticated camouflage techniques, such as multi-hop collaborative attacks, to evade detection. Traditional Graph Neural ...

Customer reviews are the most influential form of local business content. Surveys routinely reveal that upwards of 90% of consumers read reviews as they search for nearby goods and services. In this ...

Abstract: Email spam detection has become a serious issue in contemporary communication systems as a result of the proliferation of unwanted emails. Traditional methods often fall short of the ever- ...

The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...

This project implements a machine learning model to classify SMS messages as "spam" or "ham" (not spam) using Decision Trees and TF-IDF vectorization. CS_Project_II/ ├── dataset/ │ └── spam.csv # SMS ...