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 ...

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 ...

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