Even though research in the field of functional near-infrared spectroscopy (fNIRS) has been performed for more than 20 years, consensus on signal processing methods is still lacking. A significant ...

Recent advances in sequencing technology are mediating a transition from organismal to community genomics (metagenomics), allowing us to directly examine the molecular blueprints of microbial ...

Ensemble prediction systems (EPSs) serve as a popular technique to provide probabilistic precipitation prediction in short- and medium-range forecasting. However, numerical models still suffer from ...

Abstract: The paper gives a short introduction to the problem of signal processing for fault diagnostics in engineering systems. The main practical approaches to fault detection and isolation (FDI) ...

Abstract: With the rise of advanced driver assistance systems (ADAS), range sensors and their data processing methods are becoming more and more important. Light detection and ranging (LiDAR) sensors ...

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

UPF controversy is accelerating regulatory and consumer pressure, but definitions remain inconsistent — creating risk for ...