Okes2024 / EEG-Signal-Classification-for-Stress-Level-DetectionLinks
This project simulates EEG signals and applies machine learning to classify stress levels. Using band power features and biomarkers like beta/alpha ratios, it distinguishes calm from stress states, providing a reproducible framework for mental health monitoring and cognitive load assessment.
☆17Updated 3 weeks ago
Alternatives and similar repositories for EEG-Signal-Classification-for-Stress-Level-Detection
Users that are interested in EEG-Signal-Classification-for-Stress-Level-Detection are comparing it to the libraries listed below
Sorting:
- A Chart for Water Parameters is a visual representation of key water quality indicators, such as pH, turbidity, dissolved oxygen, conduct…☆11Updated 7 months ago
- Synthetic modeling of Urban Heat Islands (UHI) using satellite-like data. Generates spectral bands, vegetation and urban indices, and lan…☆17Updated last month
- Goal: Predict future employee performance using historical Key Performance Indicators (KPIs). Method: Apply ML models to analyze produc…☆17Updated last month
- This project forecasts renewable energy demand using LSTM-based time series models. It processes historical demand data, trains predictiv…☆18Updated 2 weeks ago
- A prototype chatbot that analyzes symptoms using ML, suggesting possible conditions based on synthetic data. Educational use only, demons…☆17Updated 2 weeks ago
- ☆17Updated 5 months ago
- ☆12Updated 5 months ago
- ☆17Updated 5 months ago
- This project applies machine learning to predict suicide risk using synthetic psychological, demographic, and behavioral data. It demonst…☆17Updated last month
- This project predicts the quality of water based on various water parameters and pollutants using machine learning and deep learning tech…☆11Updated 7 months ago
- Okes2024 / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-ChangeThe dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆12Updated 6 months ago
- Goal: Develop ML models to identify high-risk patients for hospital readmission within 30 days of discharge. Approach: Analyze clinical d…☆17Updated last month
- This project applies machine learning to detect bias in recruitment decisions, analyzing gender disparities using fairness metrics like D…☆17Updated last week
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆11Updated 11 months ago
- Climate Change Impact Analysis is a Python-based application designed to explore and analyze datasets related to temperature, precipitati…☆11Updated 8 months ago
- ☆12Updated 5 months ago
- This project uses NLP to analyze synthetic patient journals for anxiety trends. It applies text preprocessing, scoring, and topic modelin…☆17Updated last month
- ☆12Updated 5 months ago
- This project demonstrates building a synthetic mental health support chatbot. It generates a labeled dataset, trains an intent classifier…☆17Updated this week
- Machine learning to optimize team formation by clustering individuals based on personality traits and strategically forming diverse teams☆17Updated 2 months ago
- ☆17Updated 5 months ago
- ☆12Updated 5 months ago
- Text Mining in Employee Feedback Surveys applies natural language processing to analyze employee comments, uncover hidden themes, sentime…☆17Updated 2 weeks ago
- project leverages synthetic VR session data to analyze patient responses in exposure therapy. Using statistical and visualization techniq…☆17Updated last month
- ☆17Updated 5 months ago
- This project develops a machine learning model to predict employee job satisfaction based on key organizational factors. The solution hel…☆17Updated 2 months ago
- This project generates synthetic ADHD and control patient data, applying machine learning and statistical analysis to uncover behavioral …☆17Updated 3 weeks ago
- This project leverages machine learning and deep learning to analyze synthetic voice features for detecting potential emotional disorders…☆17Updated last month
- Objective: Predict chronic disease onset using Electronic Health Records (EHRs). Method: Apply ML algorithms to identify high-risk pati…☆17Updated 2 weeks ago
- This project uses Natural Language Processing (NLP) to perform sentiment analysis on internal communications, helping organizations under…☆17Updated last week