2 papers
stat.ME2023
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
Szymon Urbas, Pierre Lovera, Robert Daly +3
High-dimensional spectral data -- routinely generated in dairy production -- are used to predict a range of traits in milk products. Partial least squares (PLS) regression is ubiqu…
cs.ET2021
Microfluidic-based Bacterial Molecular Computing on a Chip
Daniel P. Martins, Michael Taynnan Barros, Benjamin O'Sullivan +5
Biocomputing systems based on engineered bacteria can lead to novel tools for environmental monitoring and detection of metabolic diseases. In this paper, we propose a Bacterial Mo…