Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network is a research paper published in IEEE Access (2022). On theSindex it has a DataRank of 0.464. It has been cited 21 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.464
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Ålesund Municipality and the Norwegian University of Science and Technology (NTNU), Norway, through the Smart Water Project
Grant: 90392200
FWCI
1.85
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals