Handbook of Machine Olfaction: Electronic Nose Technology

By T. Pearce, S. Schiffman, H. Nagle, J. English. 2003

541 citations recorded by the source corpus.

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A review of unsupervised feature learning and deep learning for time-series modeling (2014, background): “Machine olfaction (Osuna et al., 2003; Gardner and Bartlett, 1999) is a eld that seeks to quantify and analyze odours using an electronic nose (enose).”
Digital technologies and artificial intelligence’s present and foreseeable impact on lawyering, judging, policing and law enforcement (2015, background): “See Yinon (2003) and Pamula (2003), concerning its use for detecting explosives.”
Qualitative analysis of edible oil oxidation using an olfactory machine (2020, methodology): “to some extent effective on the method of preprocessing, three major stages could be considered for data preprocessing: baseline correction, compaction, and normalization [29].”
Metal oxide-based gas sensor research: How to? (2007, background): “Their applications span from simple” explosive or toxic gases alarms (see information proided by the gas sensors manufacturers on their homepages) to ir intake control in cars [14] to components in complex chemcal sensor systems [15].”
Detection of chemical warfare agents using nanostructured metal oxide sensors (2005, background): “Polymer coated SAW devices (P-SAW) perform the real-time detection; they are selective and relatively inexpensive.”