Health Technology
- Embedded processing methods for on-line visual analysis of laser welding (2019)
- Empirical evaluation of amplifying privacy by subsampling for GANs to create differentially private synthetic tabular data (2023)
- Empirical investigation of multi-source cross-validation in clinical ECG classification (2024)
- Empowering Healthcare IoT Systems with Hierarchical Edge-based Deep Learning (2018)
- End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications (2019)
- End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction (2023)
- End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography (2022)
- Energy-efficient and reliable wearable internet-of-things through fog-assisted dynamic goal management (2019)
- Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease (2019)
- Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems (2021)





