Photoplethysmography Signal Quality Assessment Using Neighbour Edge Restricted Horizontal Visibility Graph and Machine Learning Classifiers
Z Khan, MS Manikandan… - 2024 16th International …, 2024 - ieeexplore.ieee.org
Photoplethysmography (PPG) signals are vital for monitoring pulse rate, blood pressure, and
more, but they are prone to motion artefacts and noise, leading to unreliable data. Assessing …
more, but they are prone to motion artefacts and noise, leading to unreliable data. Assessing …
Machine learning in sensor identification for industrial systems
This paper explores the potential and limitations of machine learning for sensor signal
identification in complex industrial systems. The objective is a tool to assist engineers in …
identification in complex industrial systems. The objective is a tool to assist engineers in …
[PDF][PDF] Optimizing Multi-Device Placement Strategies for Heterogeneous Machine Learning Graphs
Y Liu, M Johnson, J Smith, D Williams, E Brown… - researchgate.net
The rapid advancement of machine learning models has led to increasingly complex
architectures that require efficient computation strategies across various device types such …
architectures that require efficient computation strategies across various device types such …