An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning

Research article (Biomedical Signal Processing and Control, 2022) · cited 40× · AI/ML
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An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning

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An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-eeg-signal-classification-technique-for-braincomputer-interface-using-hybrid-deep-learning
MLA “An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-eeg-signal-classification-technique-for-braincomputer-interface-using-hybrid-deep-learning.
BibTeX @misc{4ortxyz_an-efficient-eeg-signal-classification-technique-for-braincomputer-interface-using-hybrid-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-eeg-signal-classification-technique-for-braincomputer-interface-using-hybrid-deep-learning}, note = {Accessed: 2026-05-24}}
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