Data fusion by joint non-negative matrix factorization for hypothesizing pseudo-chemistry using Bayesian networks-Reference-Cited by-同舟云学术

Data fusion by joint non-negative matrix factorization for hypothesizing pseudo-chemistry using Bayesian networks

Published:2020 Issue:9 Volume:5 Page:1719-1737
ISSN:2058-9883
Container-title:Reaction Chemistry & Engineering
language:en
Short-container-title:React. Chem. Eng.

Author:

Puliyanda Anjana¹²³,Sivaramakrishnan Kaushik¹²³^ORCID,Li Zukui¹²³,de Klerk Arno¹²³^ORCID,Prasad Vinay¹²³^ORCID

Affiliation:

1. Department of Chemical and Materials Engineering

2. Edmonton

3. Canada

Abstract

We infer reaction networks and chemistry using data fusion of spectroscopic sensors.

Funder

Alberta Innovates

Mitacs

Natural Sciences and Engineering Research Council of Canada

University of Alberta

Publisher

Royal Society of Chemistry (RSC)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Chemical Engineering (miscellaneous),Chemistry (miscellaneous),Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2020/RE/D0RE00147C

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