Efficient deep neural network model for classification of grasp types using sEMG signals

Research article (Journal of Ambient Intelligence and Humanized Computing, 2021) · cited 35× · AI/ML
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Efficient deep neural network model for classification of grasp types using sEMG signals

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Efficient deep neural network model for classification of grasp types using sEMG signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient deep neural network model for classification of grasp types using sEMG signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-deep-neural-network-model-for-classification-of-grasp-types-using-semg-signals
MLA “Efficient deep neural network model for classification of grasp types using sEMG signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-deep-neural-network-model-for-classification-of-grasp-types-using-semg-signals.
BibTeX @misc{4ortxyz_efficient-deep-neural-network-model-for-classification-of-grasp-types-using-semg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient deep neural network model for classification of grasp types using sEMG signals}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-deep-neural-network-model-for-classification-of-grasp-types-using-semg-signals}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient deep neural network model for classification of grasp types using sEMG signals — https://4ort.xyz/entity/efficient-deep-neural-network-model-for-classification-of-grasp-types-using-semg-signals (retrieved 2026-05-24)

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