GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG
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GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG is a scholarly article[1].
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GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG. Retrieved May 24, 2026, from https://4ort.xyz/entity/grp-dnet-a-gray-recurrence-plot-based-densely-connected-convolutional-network-for-classification-of-epileptiform-eeg
MLA“GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/grp-dnet-a-gray-recurrence-plot-based-densely-connected-convolutional-network-for-classification-of-epileptiform-eeg.
BibTeX@misc{4ortxyz_grp-dnet-a-gray-recurrence-plot-based-densely-connected-convolutional-network-for-classification-of-epileptiform-eeg_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG}}, year = {2026}, url = {https://4ort.xyz/entity/grp-dnet-a-gray-recurrence-plot-based-densely-connected-convolutional-network-for-classification-of-epileptiform-eeg}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG — https://4ort.xyz/entity/grp-dnet-a-gray-recurrence-plot-based-densely-connected-convolutional-network-for-classification-of-epileptiform-eeg (retrieved 2026-05-24)
