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Article

11 Citations

3,225 Views

20 Pages

SATNet: A Spatial Attention Based Network for Hyperspectral Image Classification

Qingqing Hong,
Xinyi Zhong,
Weitong Chen,
Zhenghua Zhang,
Bin Li,
Hao Sun,
Tianbao Yang and
Changwei Tan

Remote Sens.2022, 14(22), 5902;https://doi.org/10.3390/rs14225902

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21 November 2022

In order to categorize feature classes by capturing subtle differences, hyperspectral images (HSIs) have been extensively used due to the rich spectral-spatial information. The 3D convolution-based neural networks (3DCNNs) have been widely used in HS...

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Article

39 Citations

4,919 Views

13 Pages

An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram

Khuong Vo,
Tai Le,
Amir M. Rahmani,
Nikil Dutt and
Hung Cao

Sensors2020, 20(13), 3757;https://doi.org/10.3390/s20133757

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4 July 2020

The invasive method of fetal electrocardiogram (fECG) monitoring is widely used with electrodes directly attached to the fetal scalp. There are potential risks such as infection and, thus, it is usually carried out during labor in rare cases. Recent...

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