S-Convnet: A shallow convolutional neural network architecture for neuromuscular activity recognition using instantaneous high-density surface EMG images

Research article (Le dépôt institutionnel (Université du Québec à Trois-Rivières), 2020) · cited 12× · AI/ML
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S-Convnet: A shallow convolutional neural network architecture for neuromuscular activity recognition using instantaneous high-density surface EMG images

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S-Convnet: A shallow convolutional neural network architecture for neuromuscular activity recognition using instantaneous high-density surface EMG images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). S-Convnet: A shallow convolutional neural network architecture for neuromuscular activity recognition using instantaneous high-density surface EMG images. Retrieved May 24, 2026, from https://4ort.xyz/entity/s-convnet-a-shallow-convolutional-neural-network-architecture-for-neuromuscular-activity-recognition-using-instantaneous
MLA “S-Convnet: A shallow convolutional neural network architecture for neuromuscular activity recognition using instantaneous high-density surface EMG images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/s-convnet-a-shallow-convolutional-neural-network-architecture-for-neuromuscular-activity-recognition-using-instantaneous.
BibTeX @misc{4ortxyz_s-convnet-a-shallow-convolutional-neural-network-architecture-for-neuromuscular-activity-recognition-using-instantaneous_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{S-Convnet: A shallow convolutional neural network architecture for neuromuscular activity recognition using instantaneous high-density surface EMG images}}, year = {2026}, url = {https://4ort.xyz/entity/s-convnet-a-shallow-convolutional-neural-network-architecture-for-neuromuscular-activity-recognition-using-instantaneous}, note = {Accessed: 2026-05-24}}
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