Human-Machine Interface Technology Advancements and Applications (Paperback, 1)

1. Neural Networks for Human-Machine Interface. 2. An Overview of Recent Approaches in Brain-Computer Interface Systems using Electroencephalography. 3. Automatic Detection of Motor Imagery Eeg Signals Using Swarm Decomposition For Robust BCI System. 4. Analysis of Mental Stress during Public Speaking using Feature Optimization Techniques on EEG Signals. 5. Classification of human emotions based on Electroencephalogram (EEG) using two-layer Gated Recurrent Units (GRUs). 6. Epileptic Seizure Classification Using Machine Learning Algorithms with The Techniques of PCA Feature Reduction. 7. Nano technology advancements in HMI. 8. An Engineering Approach of Non-Invasive Detection and Analysis of Human Heart Sound for Alarm Generation. 9. Image Denoising: An Overview of Important Methods in Spatial and Transform Domain. 10. Diabetic Retinopathy Diagnosis System Based on Artificial Intelligence. 11. Usability to User Experience with Interactive Systems in Biomedical Applications and Devices. 12. Dynamic Energy Management of Hybrid Electric Vehicles (HEVs) using Fuzzy Logic Controller. 13. Predictive Maintenance and Anomaly Detection in Smart Manufacturing. 14. Impact of digitalization and artificial intelligence (AI) on diagnostic pathology: Are we looking at a renaissance? 15. University Chatbot System Using Natural Language Processing.