Researchers have developed a dual-domain deep learning network that accurately classifies electroencephalogram artifacts while distinguishing routine movements from diagnostic temporal lobe seizure ...
A 49-qubit fragment-encoded quantum convolutional neural network running on IBM's Heron r2 processor classified ...
Environmental Audio Sound Classification from Log-Mel Spectrograms using a Deep 2D Convolutional Neural Network in PyTorch. - GideonMwiti/pytorch-audio-classification-cnn ...
Quantifying biomorphological evolution and integrating phenotypic data into large-scale ecological and evolutionary studies are often limited by the scalability, subjectivity, and poor ...
Emily Laurence is a journalist, freelance writer and certified health coach living in Raleigh, North Carolina. She specializes in writing about mental health, healthy aging and overall wellness. For ...
EEG-based emotion recognition has gradually become a new research direction, known as affective Brain-Computer Interface (aBCI), which has huge application potential in human-computer interaction and ...
This paper focuses on solving a fault detection problem using multivariate time series of vibration signals collected from planetary gearboxes in a test rig. Various traditional machine learning and ...
A novel graph convolution framework, CKGConv, using continuous kernel functions derived from graph positional encoding achieves high performance and expressiveness, outperforming existing graph ...
remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results