Abstract: With the continuous extension of the Industrial Internet, cyber incidents caused by software vulnerabilities have been increasing in recent years. However, software vulnerabilities detection ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

Abstract: Log anomaly detection in digital service networks is challenging due to the heterogeneity and complexity of log formats and semantics. Traditional log anomaly detection methods struggle with ...

Roll Tide! No that’s more like it. This graphing column, I’ll admit, is a much more interesting read when we’re breaking down ...

@article{LossOdyssey, title = {Loss Odyssey in Medical Image Segmentation}, journal = {Medical Image Analysis}, volume = {71}, pages = {102035}, year = {2021}, author ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

The Syracuse Orange once again took a while to get on track on Saturday. Looking back at the first down offense you can see ...

Neurodegenerative diseases affect around 50 million people worldwide. They arise when neurons deteriorate and die. Neurodegeneration was thought to result from defects within neurons. But recent ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

INTU, BRO, and FDS offer strong growth, solid dividends, and discounted value. Read here for an in-depth analysis of these ...

As urbanisation and industrial activity continue to expand, noise and vibration pollution are becoming increasingly critical ...