Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN
Summary
Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN is a scholarly article[1].
Key Facts
Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-epileptic-seizures-based-on-eeg-signals-using-spatial-depth-features-of-a-3d-2d-hybrid-cnn
MLA“Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-epileptic-seizures-based-on-eeg-signals-using-spatial-depth-features-of-a-3d-2d-hybrid-cnn.
BibTeX@misc{4ortxyz_predicting-epileptic-seizures-based-on-eeg-signals-using-spatial-depth-features-of-a-3d-2d-hybrid-cnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-epileptic-seizures-based-on-eeg-signals-using-spatial-depth-features-of-a-3d-2d-hybrid-cnn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN — https://4ort.xyz/entity/predicting-epileptic-seizures-based-on-eeg-signals-using-spatial-depth-features-of-a-3d-2d-hybrid-cnn (retrieved 2026-05-24)
