Search Results for author:
Found 6 papers, 0 papers with code
Quantum Annealing for Automated Feature Selection in Stress Detection
As a case study, we will investigate the effectiveness of QA-based feature selection techniques in selecting the optimal feature subset for stress detection.
Wearable Health Monitoring System for Older Adults in a Smart Home Environment
We have also proposed a blood pressure estimation model using PPG signal and advanced regression techniques for integration with the stress detection model in the wearable health monitoring system.
Machine Learning Based Prediction of Future Stress Events in a Driving Scenario
A total of 42 features were extracted from the data and then expanded into a total of 252 features by grouping the data and taking six statistical measurements of each group for each feature.
Machine Learning Based Anxiety Detection in Older Adults using Wristband Sensors and Context Feature
The proposed method for anxiety detection combines features from a single physiological signal with an experimental context-based feature to improve the performance of the anxiety detection model.
A Review of Machine Learning Classification Using Quantum Annealing for Real-world Applications
Optimizing the training of a machine learning pipeline helps in reducing training costs and improving model performance.
T-count Optimized Design of Quantum Integer Multiplication
Quantum circuits of many qubits are extremely difficult to realize; thus, the number of qubits is an important metric in a quantum circuit design.
Quantum Physics Emerging Technologies
