The model could uncover quakes that would previously have been dismissed as human-generated vibrations. Cities are loud places. Traffic, trains, and machinery generate a lot of noise. While it’s a ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...

The researchers combined temporal convolutional networks and long short-term memory networks for analysing the signals.

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...