The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 13, 2020

Filed:

Jun. 16, 2017
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Noureddine Tayebi, Santa Clara, CA (US);

Varvara Kollia, Mountain View, CA (US);

Pradyumna S. Singh, San Jose, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G01N 33/00 (2006.01); G01N 27/14 (2006.01); G06F 17/18 (2006.01); H04L 29/08 (2006.01); G06N 20/00 (2019.01); G06N 3/04 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G01N 27/14 (2013.01); G01N 33/0047 (2013.01); G06F 17/18 (2013.01); G06N 3/0454 (2013.01); G06N 20/00 (2019.01); H04L 67/10 (2013.01); H04L 67/12 (2013.01); G06N 20/10 (2019.01);
Abstract

Embodiments herein relate to gas identification with a gas identification apparatus having a plurality of metal oxide semiconductor (MOS) sensors. In various embodiments, a gas identification apparatus may include a set of heterogeneous MOS sensors to provide different response patterns for the presence of different gases and an identification engine coupled with the sensors, and having a plurality of regression models and one or more artificial neural networks, to analyze a response pattern to identify presence of a gas, based at least in part on a plurality of property measurements of the MOS sensors when exhibiting the response pattern, and using one or more of the plurality of regression models and the one or more artificial neural networks. Other embodiments may be described and/or claimed.


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