UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.

Abstract: Capturing complex intervariable relationships is crucial for anomaly detection for multivariate time-series (MTS) data. In recent years, graph neural networks (GNNs) have been introduced to ...

Abstract: Multivariate Time Series Classification (MTSC) has important research significance and practical value. Deep learning models have achieved considerable success in addressing MTSC problems.

Resumes with they/them pronouns get 8% less likely to be considered a good fit, with 72% of nonbinary job-seekers fearing ...

As an important part of active sonar, transmitted signals have a great influence on the performance of ocean exploration, however, in the actual environment, due to the existence of the Doppler ...

The purpose of this repository is to share KQL queries that can be used by anyone and are understandable. These queries are intended to increase detection coverage through the logs of Microsoft ...