eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
IEEE

Hybrid CNN-GCN Network for Hyperspectral Image Classification

Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial ...
IEEE

Evolutionary Neural Architecture Search for Remote Sensing Image Classification

Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional neural network (CNN)-based methods ...
Frontiers

Snoring sound classification in patients with cerebrovascular stenosis based on an improved ConvNeXt model

1 School of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibin, China 2 Traditional Chinese Medicine Department, Zigong First People’s Hospital, Zigong, China ...