A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Researchers developed a process to recover silicon and silicon dioxide (SiO₂) from end-of-life crystalline silicon solar ...

Researchers in China found that fine tuning the lead(II) oxide (PbO) and silicon dioxide (SiO₂) molar ratio in silver paste ...

Abstract: Restoring high-quality images from degraded hazy observations is a fundamental and essential task in the field of computer vision. While deep models have achieved significant success with ...

FIFTEEN staff members of Bahay ni Maria in Laguna attended a refresher training on sustainable home gardening conducted by ...

Hanwha Qcells will test commercial-scale tandem solar modules with a government-backed consortium as it targets ...