Search Results for author:
Found 2 papers, 0 papers with code
Modelling calibration uncertainty in networks of environmental sensors
Networks of low-cost sensors are becoming ubiquitous, but often suffer from poor accuracies and drift.
Machine Learning for a Low-cost Air Pollution Network
Data collection in economically constrained countries often necessitates using approximate and biased measurements due to the low-cost of the sensors used.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
