Additionally, the precision: 0.91, recall: 0.91, and F1-Score: 0.91 results of LipNet-based 2D CNN-LSTM model are also high, then its other competitors models. The other various findings highlight the ...

Chilling images from Camp Mystic summer camp in Hunt, Texas, show the destruction left in the wake of a flash flood that ...

In this paper, we propose an end-to-end trainable Convolutional Neural Network (CNN) architecture called the M-net, for segmenting deep (human) brain structures from Magnetic Resonance Images (MRI). A ...

Recently, a substantial advancement in flexible printed electronics such as a microsupercapacitor (MSC) has motivated researchers to exploit the printable multifunctional graphene inks. Of particular ...

The House appeared to be on its way to advancing President Donald Trump's $3.3 trillion "big, beautiful bill" Wednesday night ...