AI Article Synopsis
- 36 sludge samples were analyzed to characterize their properties.
- Rheological parameters were measured alongside near infrared spectroscopy to gather additional data.
- The study employed the Partial Least Square algorithm to create models that could predict the rheological properties of sludge based on spectroscopy data.
Article Abstract
In the dataset presented in this article, 36 sludge samples were characterized. Rheological parameters were determined and near infrared spectroscopy measurements were realized. In order to assess the potential of near infrared spectroscopy to predict rheological parameters of sludge, Partial Least Square algorithm was used to build calibration models.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5040641 | PMC |
| http://dx.doi.org/10.1016/j.dib.2016.09.020 | DOI Listing |
Publication Analysis
Top Keywords
infrared spectroscopy
12
rheological parameters
12
spectroscopy measurements
8
predict rheological
8
parameters sludge
8
dataset infrared
4
measurements predict
4
sludge dataset
4
dataset presented
4
presented article
4
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!