Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
IEEE

Survey on Vulnerability Detection in Web Environment Using Tools, Machine Learning, Deep Learning Techniques

Abstract: Increasing dependence on web applications has raised serious security concerns, especially in identifying weaknesses that can be exploited by attackers. Although powerful, traditional ...
The New York Times

Learning to Tell the Truth to Those I Love

In a time of crisis, I couldn’t allow myself to be vulnerable until a chatbot showed me the way. By Katie Czyz Most nights, after my husband and children had gone to bed, I would curl into the corner ...
Scientific Research Publishing

Chen, Y.Z., Ding, Z.J., Alowain, L., Chen, X.Y. and Wagner, D. (2023) DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning-Based Vulnerability Detection.

ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...
Scientific Research Publishing

Temitope Yekeen, S. and Balogun, A. (2020) Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and ...

ABSTRACT: An ancient fossil fuel, oil is a crucial energy source for various daily activities, such as electricity generation and vehicle operation. However, its ship transportation poses a ...
Frontiers

A lightweight multi-deep learning framework for accurate diabetic retinopathy detection and multi-level severity identification

Accurate and timely detection of diabetic retinopathy (DR) is crucial for managing its progression and improving patient outcomes. However, developing algorithms to analyze complex fundus images ...
IEEE

Automated Vulnerability Detection in Source Code Using Deep Representation Learning

Abstract: Increasing numbers of software vulnerabilities are discovered every year whether they are reported publicly or discovered internally in proprietary code. These vulnerabilities can pose ...