Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
3 MRC/UCT Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa 4 Department of Human Biology, Sports Science Institute of South Africa, Cape Town, ...
In this hands-on tutorial, you will train a convolutional neural network to identify sleep stages from raw EEG signals, and try to improve the classification performance of an existing model. The ...
Most of the time, when we want to do a classification task, the label alone does not mean much. It would be super relevant and useful to be able to give a text description to each of the ...
Abstract: The Internet of Things (IoT) has become an emerging trend that connects heterogeneous devices and enables them with new capabilities. Many applications exploit machine learning methodology ...
8 Department of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA Correspondence to Michael G Sarr, Department of Surgery, Mayo Clinic (GU 10-01), 200 1st ...
Abstract: Focusing on the adaptability of energy management methods for hybrid electric vehicle (HEV) to the driving cycle, the paper analyses and compares two driving cycle identification methods ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback