Improving the transfer ability of prediction models for electronic noses

Calibration transfer is attracting more and more attention in the field of electronic noses (e-noses). It aims at making the prediction model trained on one device transferable to other devices, which is important for the large-scale deployment of e-noses, especially when the cost of sample collecti