EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

The last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques.

Given this prevalence, this paper concentrates on reviewing literature specifically related to EEG signals in the context of epilepsy. We will explore four key areas: the nature of epileptic EEG data, ...

Deep learning is the best machine learning algorithm for numerous analytical tasks. On a large data set, training a deep learning model frequently lasts several days to several months. Throughout this ...

In deep learning, a large amount of historical data can be used to automatically extract and learn features, which compensates for the shortcomings of manual feature extraction. According to the ...