Generalised non-negative matrix factorisation for air pollution source apportionment-Reference-Cited by-同舟云学术

Generalised non-negative matrix factorisation for air pollution source apportionment

Published:2022-09 Issue: Volume:839 Page:156294
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Lekinwala Nirav L.,Bhushan Mani

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference34 articles.

1. Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation;Cichocki,2009

2. Maximum likelihood principal component analysis as initial projection step in multivariate curve resolution analysis of noisy data;Dadashi;Chemom. Intell. Lab. Syst.,2012

3. DRI Standard Operating Procedure - DRI Model 2015 Thermal/Optical Carbon Analysis (TOR/TOT) of Aerosol Filter Samples – Method IMPROVE_A. Technical Report;DRI,2017

4. Accelerating the Lee-Seung Algorithm for Nonnegative Matrix Factorization. Technical Report;Gonzalez,2005

5. Econometric Analysis;Greene,2003

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