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RETRACTED ARTICLE: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures
Research article (Journal of Ambient Intelligence and Humanized Computing, 2020) · cited 15× · AI/ML
RETRACTED ARTICLE: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures
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RETRACTED ARTICLE: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures is a scholarly article[1].
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RETRACTED ARTICLE: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). RETRACTED ARTICLE: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures. Retrieved May 24, 2026, from https://4ort.xyz/entity/retracted-article-an-optimized-deep-learning-network-model-for-eeg-based-seizure-classification-using-synchronization-an
MLA“RETRACTED ARTICLE: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retracted-article-an-optimized-deep-learning-network-model-for-eeg-based-seizure-classification-using-synchronization-an.
BibTeX@misc{4ortxyz_retracted-article-an-optimized-deep-learning-network-model-for-eeg-based-seizure-classification-using-synchronization-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RETRACTED ARTICLE: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures}}, year = {2026}, url = {https://4ort.xyz/entity/retracted-article-an-optimized-deep-learning-network-model-for-eeg-based-seizure-classification-using-synchronization-an}, note = {Accessed: 2026-05-24}}
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