Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection

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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection

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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/recurrent-and-convolutional-neural-networks-in-classification-of-eeg-signal-for-guided-imagery-and-mental-workload-detec
MLA “Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recurrent-and-convolutional-neural-networks-in-classification-of-eeg-signal-for-guided-imagery-and-mental-workload-detec.
BibTeX @misc{4ortxyz_recurrent-and-convolutional-neural-networks-in-classification-of-eeg-signal-for-guided-imagery-and-mental-workload-detec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection}}, year = {2026}, url = {https://4ort.xyz/entity/recurrent-and-convolutional-neural-networks-in-classification-of-eeg-signal-for-guided-imagery-and-mental-workload-detec}, note = {Accessed: 2026-05-24}}
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