Quantitative detection of formaldehyde and ammonia using a yttrium-doped ZnO sensor array combined with a back-propagation neural network model

Gas Sensor Array with Pattern Recognition Algorithms for Highly Sensitive and Selective Discrimination of Trimethylamine

“…[33] To date, various pattern recognition tools, such as principal component analysis (PCA), BPNN, and ANN, have been used to address the problems of gas classification and concentration prediction. [34][35][36][37] Artificial olfaction, one of the sub-branches in artificial intelligence (AI), requires a sensor array and corresponding pattern recognition algorithms to implement the intelligent classification of gases. In this work, Ga-doped/alloyed In 2 O 3 nanotubes (Ga-In 2 O 3 NTs) have been synthesized by electrospinning and fabricated as TMA gas sensors.…”

“…[ 33 ] To date, various pattern recognition tools, such as principal component analysis (PCA), BPNN, and ANN, have been used to address the problems of gas classification and concentration prediction. [ 34–37 ]…”

Ammonia gas sensors based on undoped and Ca-doped ZnO nanoparticles

“…15 Besides, the ammonia gas sensor based on SnO 2 nanostructures fabricated by Beniwal and his team presented a response of 92% toward 500 ppm at ambient temperature and response/recovery times of 29/49 s. 16 To develop ammonia gas sensor-based ZnO material with higher performances, numerous ways are utilized such as (i) applying an electrostatic eld, (ii) using ultraviolet radiations in sensing operation, and (iii) doping materials using suitable metals. [17][18][19][20][21][22][23] In this study, we selected calcium as a dopant of ZnO to improve the sensing properties of ammonia gas. Calcium is cheap and non-toxic to human health contrary to other elements.…”

Eu(iii)-Functionalized HOFs based on machine learning-assisted fluorescence sensing: discrimination of quinolonesviaPCA and BPNN models

“…[35][36][37] Additionally, based on massive data training, DL can endow ANNs with intelligence, which can be utilized for species detection. [38][39][40] However, there are few studies combining fluorescent sensing with DL. Thus far, to the best of our knowledge, only Yan's group employed ANNs to smartly transform fluorescent sensing images into the concentration of 3-PPA with no artificial complicated digital processing.…”