Abstract: With the widespread application of three-level T-type converters (3LT2Cs), fault diagnosis has become increasingly important. Existing diagnostic methods can be divided into two types: model ...

Statistical methods, as a technique, encompass a set of quantitative procedures for collecting, summarizing, modeling, and inferring properties of data under uncertainty. They include techniques for ...

After two delays from the White House Office of Management and Budget, the Census Bureau was still poised to move forward ...

Nearly 30% of the data collected in clinical trials do not directly inform key decisions, yet patients are still asked to ...

Abstract: Edge detection is a critical technology in processing potential field data, enabling the rapid identification of geological body edges using magnetic anomaly data. Traditional methods for ...

Six-in-ten US adults say abortion should be legal in all or most cases. Here's a look at data on abortion rates, providers, ...

Sidhardha Kamaraju, David Abramowicz, and Daniel Pohlman discuss how companies can use AI-assisted document review in ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Many multi-population polygenic risk score (PRS) methods have been proposed to improve prediction in underrepresented populations; however, no single method performs best across all scenarios.

Audiences today have access to more TV content and platforms than ever before. This fragmentation has made it harder than ever to find viewers, with the right ads and content, at the right time. By ...

Uber revealed on Wednesday a prototype car that it plans to use to scoop up real-world driving data for its growing roster of autonomous vehicle partners, including Avride, Waymo, and WeRide. The ...