📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Prediction of Pollutant Emissions of Biomass Flames Through Digital Imaging, Contourlet Transform, and Support Vector Regression Modeling (2015)

First Author: Li N

Attributed to: Quantitative Characterisation of Flame Radical Emissions for Combustion Optimisation through Spectroscopic Imaging funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tim.2015.2411999

Publication URI: http://dx.doi.org/10.1109/tim.2015.2411999

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Instrumentation and Measurement

Issue: 9