Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

Research article (Computers in Biology and Medicine, 2021) · cited 153× · AI/ML
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Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

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Automated ASD detection using hybrid deep lightweight features extracted from EEG signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automated ASD detection using hybrid deep lightweight features extracted from EEG signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-asd-detection-using-hybrid-deep-lightweight-features-extracted-from-eeg-signals
MLA “Automated ASD detection using hybrid deep lightweight features extracted from EEG signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-asd-detection-using-hybrid-deep-lightweight-features-extracted-from-eeg-signals.
BibTeX @misc{4ortxyz_automated-asd-detection-using-hybrid-deep-lightweight-features-extracted-from-eeg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated ASD detection using hybrid deep lightweight features extracted from EEG signals}}, year = {2026}, url = {https://4ort.xyz/entity/automated-asd-detection-using-hybrid-deep-lightweight-features-extracted-from-eeg-signals}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated ASD detection using hybrid deep lightweight features extracted from EEG signals — https://4ort.xyz/entity/automated-asd-detection-using-hybrid-deep-lightweight-features-extracted-from-eeg-signals (retrieved 2026-05-24)

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