Alcoholic EEG Signal Classification Using Multi-Heuristic Classifiers with Stochastic Gradient Descent Technique for Tuning the Hyperparameters
Author:
Affiliation:
1. Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2163710
Reference50 articles.
1. Seizure detection using a self-organizing neural network: validation and comparison with other detection strategies
2. A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers
3. Signal processing in prolonged EEG recordings during intensive care
4. Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features
5. Detection of neonatal seizures through computerized EEG analysis
Cited by 2 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. Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms;Scientific Reports;2024-09-13
2. Alcoholism Detection in EEG Signals using GLCM-Based Texture Analysis of Image-Converted Signals;2023 6th International Conference on Information and Communications Technology (ICOIACT);2023-11-10
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