Browsing School of Statistics and Planning (SSP) Collection by Title "Unsupervised machine learning for early faulty device detection"
Now showing items 1-1 of 1
-
Unsupervised machine learning for early faulty device detection
(Makerere University, 2022-11)Early faulty detection in air quality sensors is of increasing importance in ensuring reliable and accurate air quality readings. These sensors play a critical role in monitoring the pollution levels in the atmosphere ...