277 results on '"electroencephalogram (EEG)"'
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2. Drive Sense: An Integrated System for Driver Safety
3. The Potential of 1D-CNN for EEG Mental Attention State Detection
4. Neural Correspondence to Environmental Uncertainty in Multiple Probability Judgment Decision Support System
5. Effects of PCA-Enabled Machine Learning Classification of Stress and Resting State EEGs
6. Exploring the Usability of Quantum Machine Learning for EEG Signal Classification
7. EEG Epileptic Seizure Classification Using Hybrid Time-Frequency Attention Deep Network
8. Domain Incremental Learning for EEG-Based Seizure Prediction
9. A Faster Single-Channel SSVEP-Based Speller Using Peak Filter Extended Canonical Correlation Analysis
10. Epileptic Seizure Detection Contribution in Healthcare Sustainability
11. Motor Imagery EEG Recognition Based on an Improved Convolutional Neural Network with Parallel Gate Recurrent Unit
12. A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI
13. Developmental Coordination Disorder
14. Electrophysiology in Developmental Populations Key Methods and Findings
15. Generative AI Enables the Detection of Autism Using EEG Signals
16. Emotion Recognition Through Physiological Signals and Brain Sensing
17. Analysis of EEG Characteristics of Male High School Students Who Participated in Fighter Pilot Selection During 2019–2021
18. Pediatric Seizures
19. A Novel Dataframe Creation and 1D CNN Model for Subject-Independent Emotion Classification from Raw EEG
20. Brain-Computer Interfaces in Visualized Medicine
21. Analysis of EEG Signal of the Elderly for Hand Grip Muscle Activity
22. EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation
23. Deep Neural Based Learning of EEG Features Using Spatial, Temporal and Spectral Dimensions Across Different Cognitive Workload of Human Brain: Dimensions, Methodologies, Research Challenges and Future Scope
24. Emotion Recognition from EEG Signals: A Survey
25. Use Multichannel EEG-Based Biometrics Authentication Signal in Real Time Using Neural Network
26. Taxonomy for an Automated Sleep Stage Scoring
27. Impact of EEG Signals on Human Brain Before and After Meditation
28. The Numerical Estimation of Spectral Energy Density in Electroencephalogram (EEG)
29. Generalized EEG Data Acquisition and Processing System
30. Literature Review: Electroencephalogram (EEG) the Characteristics of Students’ Learning Concentration Due the Audio Stimulus
31. Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition
32. EEG-Based Emotion Recognition Using an Ensemble Learning Algorithm
33. Authentication with Bioelectrical Signals
34. Electrical Signal from the Brain
35. Machine Learning Framework for Identification of Abnormal EEG Signal
36. Enhancement of Morlet Mother Wavelet in Time–Frequency Domain in Electroencephalogram (EEG) Signals for Driver Fatigue Classification
37. Brain-Computer Interface (BCI) Based on the EEG Signal Decomposition Butterfly Optimization and Machine Learning
38. A Multi-view Representation Learning Approach for Seizure Detection Over Multi-channel EEG Signals
39. Improving Motor Imagery Intention Recognition via Local Relation Networks
40. An EEG Classification Method Based on the Combination of Regularized Common Spatial Patterns and Particle Swarm Optimization
41. GRU-Based Parameter-Efficient Epileptic Seizure Detection
42. A New Method for EEG Signals Classification Based on RBF NN
43. Learner Attention Quantification Using Eye Tracking and EEG Signals
44. Comparative Study on Inducing Effect of Two Kinds of Shape Flash in Pilot Selection by EEG Detection
45. Seizure and Drowsiness Detection Using ICA and ANN
46. Design of Protection Circuit for Biomedical Signals Using 180 nm Technology
47. Pediatric Altered Mental Status
48. Evaluating Human-in-the-Loop Assistive Feeding Robots Under Different Levels of Autonomy with VR Simulation and Physiological Sensors
49. A Review on Estimation of Workload from Electroencephalogram (EEG) Using Machine Learning
50. Using Machine Learning to Determine Optimal Sleeping Schedules of Individual College Students
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