A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Mobile robots must continuously estimate their position to navigate autonomously. However, satellite-based navigation systems are not always reliable: signals may degrade near buildings or become ...
Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...
Abstract: Due to the intensifying impacts of extreme climate changes, drought forecasting (DF), which aims to predict droughts from the historical meteorological data, has become increasingly critical ...