Advancing biosensors with machine learning

F Cui, Y Yue, Y Zhang, Z Zhang, HS Zhou - ACS sensors, 2020 - ACS Publications
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …

Environmental signal processing: new trends and applications

M Puigt, G Delmaire, G Roussel - 25th European Symposium on …, 2017 - hal.science
In the last years, environmental monitoring was shown to be a major application field of
modern signal processing and machine learning techniques. In particular, it provides some …

Synthetic Electrochemical Biosensor Data with Conditional Variational Autoencoders for Enhanced Predictive Modeling

DKX Teo, T Maul, MTT Tan - 2024 IEEE SENSORS, 2024 - ieeexplore.ieee.org
Electrochemical biosensors (EB) have revolutionized various domains with their rapid and
sensitive analyte detection capabilities. However, as EBs advance to tackle more …