Editor’s note: Previous versions of the simulation were incorrectly calculating each team’s odds of reaching the conference finals and beyond. That error has been ...

Recent research suggests that generic large language models (LLMs) can match the accuracy of traditional methods when forecasting macroeconomic variables in pseudo out-of-sample settings generated via ...

Abstract: Domain adaptation (DA)-based subspace-learning method is widespread in the field of mechanical fault diagnosis (MFD) with limited training samples. However, most current methods focus on ...

Over the past few years, transmission electron microscopy (TEM) has been revolutionized, not only by the introduction of new hardware such as field-emission electron guns, aberration correctors and ...

Abstract: In this paper, we propose a two-stage weighted projection method (TS-WPM) for time-difference-of-arrival (TDOA)-based localization, providing provable improvements in positioning accuracy, ...