A scheme combining feature fusion and hybrid deep learning models for epileptic seizure detection and prediction
Most Cited Paper
in Epilepsy research and treatment
18 Months Post-Publication
Class of 2026
“A scheme combining feature fusion and hybrid deep learning models for epileptic seizure detection and prediction”
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pri.pepkio.com
Topics
Seizure detection · Seizure prediction · feature fusion · CNN-GRU-AM model · Convolutional Neural Network · gated recurrent unit · attention mechanism · EEG signal · Discrete Wavelet Transform (DWT) · Discrete Wavelet Transform (DWT) · Time-frequency features · nonlinear features · CHB-MIT scalp EEG database · 10-fold cross-validation · multi-class classification
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026. https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026. Accessed 2026-08-20. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459