Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal
Summary
Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal is a scholarly article[1].
Key Facts
Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/sequential-graph-convolutional-network-and-deeprnn-based-hybrid-framework-for-epileptic-seizure-detection-from-eeg-signa
MLA“Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sequential-graph-convolutional-network-and-deeprnn-based-hybrid-framework-for-epileptic-seizure-detection-from-eeg-signa.
BibTeX@misc{4ortxyz_sequential-graph-convolutional-network-and-deeprnn-based-hybrid-framework-for-epileptic-seizure-detection-from-eeg-signa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal}}, year = {2026}, url = {https://4ort.xyz/entity/sequential-graph-convolutional-network-and-deeprnn-based-hybrid-framework-for-epileptic-seizure-detection-from-eeg-signa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal — https://4ort.xyz/entity/sequential-graph-convolutional-network-and-deeprnn-based-hybrid-framework-for-epileptic-seizure-detection-from-eeg-signa (retrieved 2026-05-24)