Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

1. Introduction to Neural Signals and Information Systems. 2. Artificial intelligence (AI)-enabled Signal Processing-based Methods for the Automated Detection of Epileptic Seizures using EEG Signals. 3. Machine Learning or Deep Learning Combined with Signal Processing for the Automated Classification of Sleep Stages using EEG Signals. 4. Classification of Normal and Alcoholic EEG Signals using Signal Processing and Machine Learning Models. 5. Artificial Intelligence-enabled Signal Processing-based Approach for the Automated Detection of Depression using EEG Signals. 6. Detection of Sleep Disorders from EEG Signals using Signal Processing and Machine Learning Techniques. 7. Automated Emotion Recognition from EEG Signals using Signal Processing and Machine Learning Techniques. 8. Signal Processing and Machine Learning-based Automated Approach for the Detection of Parkinson's Disease using EEG Signals. 9. Automated Detection of Alzheimer's Disease from EEG Signal using Signal Processing and Machine Learning-based Methods. 10. Artificial Intelligence-enabled Signal Processing-based Method for Brain-Computer Interface (BCI) Applications using EEG Signals. 11. Detection of Dementia from EEG Signals using Signal Processing and Machine Learning-based Techniques. 12. Signal Processing enabled Machine Learning based Approach for Automated Recognition of Cognitive tasks using EEG Signals.