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This work develops a generalizable neural network, SENSORNET, for sensor feature learning across various applications.
May 21, 2024 · This work develops a generalizable neural network, SENSORNET, for sensor feature learning across various applications.
The experimental results show that SensorNet is able to achieve state-of-the-art performance compared with the top five models on a competition activity ...
SensorNet: An Adaptive Attention Convolutional Neural Network for Sensor Feature Learning. Authors. Ge, Jiaqi; Xu, Gaochao; Lu, Jianchao; Xu, Xu; Li, Long ...
SensorNet: An Adaptive Attention Convolutional Neural Network for Sensor Feature Learning. Sensors 2024, 24, 3274. https://doi.org/10.3390/s24113274. AMA ...
This work develops a generalizable neural network, SENSORNET, for sensor feature learning across various applications. The primary challenge addressed is ...
This work develops a generalizable neural network, SENSORNET, for sensor feature learning across various applications. The primary challenge addressed is ...
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"A survey: Deep learning for sensor-based activity recognition. ... X(2024)SensorNet: An Adaptive Attention Convolutional Neural Network for Sensor ...
SensorNet is a scalable and low-power embedded deep convolutional neural network (DCNN), designed to classify multimodal time series signals.
In this study, SparNet, a convolutional neural network composed of five parallel convolutional filters and the SENet, is proposed to learn EEG space-frequency ...