Audio signal processing has experienced rapid evolution in recent years, driven largely by developments in deep learning. Modern approaches now harness neural network architectures to extract ...

ABERDEEN PROVING GROUND, Md. -- Digitally speaking, it's loud out there. Cell phones, satellite signals, radars and more are making the electromagnetic spectrum a crowded and congested space. To cut ...

We propose a new sequential classification model for astronomical objects based on a recurrent convolutional neural network (RCNN) which uses sequences of images as inputs. This approach avoids the ...