Alcoholism via wavelet energy entropy and support vector machine
Author:
Affiliation:
1. University of Leicester, Leicester, United Kingdom and Liming Vocational University, Quanzhou
2. Federal University of Santa Catarina, Florianópolis, Brazil
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3492323.3495617
Reference40 articles.
1. Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization
2. T. K. Padma shri and N. Sriraam 2012 . EEG based detection of alcoholics using spectral entropy with neural network classifiers . In 2012 International Conference on Biomedical Engineering (ICoBE), 89--93 . T. K. Padma shri and N. Sriraam 2012. EEG based detection of alcoholics using spectral entropy with neural network classifiers. In 2012 International Conference on Biomedical Engineering (ICoBE), 89--93.
3. Alcoholism diagnosis from EEG signals using continuous wavelet transform
4. A novel approach for automated alcoholism detection using Fourier decomposition method
5. Trace determination of safranin O dye using ultrasound assisted dispersive solid-phase micro extraction: Artificial neural network-genetic algorithm and response surface methodology
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