# Machine Learning for Sensor Transducer Conversion Routines. (arXiv:2108.11374v1 [cs.LG])

Sensors with digital outputs require software conversion routines to
transform the unitless ADC samples to physical quantities with the correct
units. These conversion routines are computationally complex given the limited
set of machine learning methods to learn new, less-complex conversion routines
that do not sacrifice accuracy for the BME680 environmental sensor. We present
these methods are 0.0114 $^circ$C, 0.0280 KPa, and 0.0337 %. These results