A novel ST-GCN model based on homologous microstate for subject-independent seizure prediction
W
Wei Shi
Y
Yi Shi
(School of Materials Science and Engineering, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, Guangdong Functional Biomaterials Engineering Technology Research Center)
F
Fangni Chen
L
Lei Zhang
J
Jian Wan
(College of Polymer Science and Engineering, National Key Laboratory of Advanced Polymer Materials)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
July 02, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (5)
W
Wei Shi
Y
Yi Shi
School of Materials Science and Engineering, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, Guangdong Functional Biomaterials Engineering Technology Research Center
F
Fangni Chen
L
Lei Zhang
J
Jian Wan
College of Polymer Science and Engineering, National Key Laboratory of Advanced Polymer Materials
Related Articles from this Journal
AI models of unstable flow exhibit hallucination
Ramdhan Wibawa, Birendra Jha
Aug 2026
10.1038/s41598-026-64023-8
The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep
Hang Zhang, Yuang Cheng et al.
Aug 2026
10.1038/s41598-026-64075-w
Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean
Ava Mohrazi, Reza Ghasemi-Fasaei
Aug 2026
10.1038/s41598-026-66011-4
Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game
Niloofar Saeedi, Khatereh Borhani et al.
Aug 2026
10.1038/s41598-026-64831-y
An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
Hyein Lee, Dae-Hyun Jung
Aug 2026
10.1038/s41598-026-64156-w