Encephalitis Detection from EEG Fuzzy Density-Based Clustering Model with Multiple Centroid-Reference-Cited by-同舟云学术

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Encephalitis Detection from EEG Fuzzy Density-Based Clustering Model with Multiple Centroid

Published:2023 Issue:3 Volume:35 Page:3129-3140
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Abdullah Mengash Hanan,M. Hafez Alaaeldin,A. Hosni Mahmoud Hanan

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference37 articles.

1. Encephalitis;Chang;New England Journal of Medicine,2003

2. Automatic segmentation of Encephalitis lesions by model outlier detection;Leemput;IEEE Transactions on Medical Imaging,2019

3. Association of an eaat2 polymorphism with higher glutamate concentration in relapsing multiple sclerosis;Pampliega;Journal of Neuro Immunology,2018

4. Automatic segmentation and classification of Encephalitis in multichannel EEG;Akselrod-Ballin;IEEE Transactions on Biomedical Engineering,2019

5. Automatic Encephalitis detection based on integrated square estimation;Liu,2019

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1. Depression Detection with Dynamic and Static Visual Features;Journal of Circuits, Systems and Computers;2023-06-30

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