Abstract: Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) is challenging. In this work, inspired by the powerful abilities of deep learning ...

Abstract: Autoencoders (AEs) are commonly utilized for acquiring low-dimensional data representations and performing data reconstruction, which makes them suitable for hyperspectral unmixing (HU).

MESCIUS USA, Inc., a global provider of award-winning enterprise software development tools, is pleased to announce the ComponentOne 2025 v2 release. The highlights of the year's last major release ...

Federal energy efficiency programs that once enjoyed bipartisan support are disappearing as data centers ramp up power consumption. The Trump administration is scrambling to ensure there’s enough ...