Abstract
Fresh data on Machine Learning are presented in a new report. According to news re- porting originating from Shenzhen, People's Republic of China, by NewsRx correspondents, research stated, “Due to the complicated gas-sensing process on the surface of metal oxide semiconductors (MOS), it is hard to accurately characterize the transient changes of MOS gas sensor. This paper introduces a modified Hill equation to quantitatively analyze the instantaneous resistance of MOS gas sensors operating in temperature-pulsed operation mode, to extract the gas-sensing dynamic features and key parameters for the selective identification of various volatile organic compounds (VOCs) gases (such as ethanol, formaldehyde, toluene and acetone) by machine learning algorithms.”
NETL
NSTL
Elsevier