Classification and Regression of Binary Hydrocarbon Mixtures using Single Metal Oxide Semiconductor Sensor With Application to Natural Gas Detection

作者: Matthew Barriault , Isaac Alexander , Nishat Tasnim , Allen O’Brien , Homayoun Najjaran

DOI: 10.1016/J.SNB.2020.129012

关键词:

摘要: … for water quality assessment, electrochemical-based gas sensors for detection of diabetes from exhaled breath, and DNA purification using microfluidic devices for forensic applications. …

参考文章(24)
Arthur J. Kidnay, Arthur J. Kidnay, William R. Parrish, Fundamentals of Natural Gas Processing CRC Press. ,(2006) , 10.1201/9781420014044
Huan Liu, Lei Yu, Feature selection for high-dimensional data: a fast correlation-based filter solution international conference on machine learning. pp. 856- 863 ,(2003)
Iztok Fister Jr, Xin-She Yang, Iztok Fister, Janez Brest, Dušan Fister, A Brief Review of Nature-Inspired Algorithms for Optimization arXiv: Neural and Evolutionary Computing. ,(2013)
Ulrich Bonne, Robert J. Matthys, Selective natural gas detecting apparatus ,(1989)
Jia Yan, Xiuzhen Guo, Shukai Duan, Pengfei Jia, Lidan Wang, Chao Peng, Songlin Zhang, Electronic Nose Feature Extraction Methods: A Review. Sensors. ,vol. 15, pp. 27804- 27831 ,(2015) , 10.3390/S151127804
Pal-Stefan Murvay, Ioan Silea, A survey on gas leak detection and localization techniques Journal of Loss Prevention in the Process Industries. ,vol. 25, pp. 966- 973 ,(2012) , 10.1016/J.JLP.2012.05.010
I. Brodetsky, M. Savic, Leak monitoring system for gas pipelines IEEE International Conference on Acoustics Speech and Signal Processing. ,vol. 3, pp. 17- 20 ,(1993) , 10.1109/ICASSP.1993.319424
S.Roy Morrison, Selectivity in semiconductor gas sensors Sensors and Actuators. ,vol. 12, pp. 425- 440 ,(1987) , 10.1016/0250-6874(87)80061-6
Chengxiang Wang, Longwei Yin, Luyuan Zhang, Dong Xiang, Rui Gao, Metal oxide gas sensors: Sensitivity and influencing factors Sensors. ,vol. 10, pp. 2088- 2106 ,(2010) , 10.3390/S100302088
Qinbao Song, Jingjie Ni, Guangtao Wang, A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data IEEE Transactions on Knowledge and Data Engineering. ,vol. 25, pp. 1- 14 ,(2013) , 10.1109/TKDE.2011.181