Overall, the developers in the study accepted less than 44 percent of the code generated by AI without modification. A ...

Discover a study introducing MAARS, a multimodal AI model that accurately predicts sudden cardiac death risk in HCM patients.

Silent data corruption (SDC), sometimes called bit rot or silent data errors (SDEs), refers to errors in data that are not ...

Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms Supervised machine learning is often used to detect phishing websites. However, the scarcity ...

In this study, the focus is concentrated on the detection of anomalous network traffic (or intrusions) from flow-based data using unsupervised deep learning methods with semi-supervised learning ...

Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification Mohammad Sultan Mahmud , Joshua Zhexue Huang ...