A closely watched clinical trial in Britain that screened blood for early detection of cancer did not show a reduction in diagnoses at later stages of the disease. By Rebecca Robbins and Gina Kolata A ...

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 ...

However, previous studies did not systematically synthesize their diagnostic accuracy. Objective: To quantitatively explore the diagnostic efficacy of deep learning (DL) and radiomics for extracranial ...

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, ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

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 ...

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- ...