Wavelet analysis of EEG for the identification of alcoholics using probabilistic classifiers and neural networks-Reference-Cited by-同舟云学术

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Wavelet analysis of EEG for the identification of alcoholics using probabilistic classifiers and neural networks

Published:2020 Issue:1 Volume:1 Page:3
ISSN:2517-763X
Container-title:International Journal of Intelligence and Sustainable Computing
language:en
Short-container-title:IJISC

Author:

Malar E.,Gauthaam M.

Publisher

Inderscience Publishers

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Memory and Visual Processing EEG for Alcohol Use Disorder Diagnosis with Linear Discriminant Analysis;IFMBE Proceedings;2024

2. Ensemble Learning for Alcoholism Classification Using EEG Signals;IEEE Sensors Journal;2023-08-01

3. Alcoholism Identification From Variational Mode Decomposed EEG Signal Using Machine Learning Techniques;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. Detection and Classification of Alcoholic and Control Scalp EEG Signals using Discrete Wavelet Transform and Gradient Boosted Tree classifiers;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

5. Alkolik ve Normal EEG Sinyallerinin Zaman-Alan Tanımlayıcı Analizi Tabanlı Otomatik Sınıflandırılması;Fırat Üniversitesi Mühendislik Bilimleri Dergisi;2023-03-28

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