Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals

Research article (Neural Networks, 2020) · cited 84× · AI/ML
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Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals

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Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamical-system-based-compact-deep-hybrid-network-for-classification-of-parkinson-disease-related-eeg-signals
MLA “Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamical-system-based-compact-deep-hybrid-network-for-classification-of-parkinson-disease-related-eeg-signals.
BibTeX @misc{4ortxyz_dynamical-system-based-compact-deep-hybrid-network-for-classification-of-parkinson-disease-related-eeg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals}}, year = {2026}, url = {https://4ort.xyz/entity/dynamical-system-based-compact-deep-hybrid-network-for-classification-of-parkinson-disease-related-eeg-signals}, note = {Accessed: 2026-05-24}}
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