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Data and Code for evaluation of E. Coli in sediment for assessing irrigation water quality using machine learning
Erfan Ghasemi Tousi
(Creator)
Jennifer Guohong Duan
(Creator)
Patricia M. Gundy
(Creator)
Kelly R Bright
(Creator)
Charles P Gerba
(Creator)
Agriculture and Life Sciences, College of
Civil and Architectural Engineering and Mechanics
Hydrology and Atmospheric Science
Biosystems Engineering, Research
Environmental Science, Research
Community, Environment and Policy
Environmental Science, Instruction
Nutritional Sciences and Wellness, Research
Dataset
Overview
Scholarly Works
(1)
Research output
Scholarly Works per year
2021
2021
2021
1
Article
Scholarly Works per year
Scholarly Works per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Article
Search results
2021
Evaluation of E. coli in sediment for assessing irrigation water quality using machine learning
Tousi, E. G.,
Duan, J. G.
, Gundy, P. M.,
Bright, K. R.
&
Gerba, C. P.
,
Dec 10 2021
,
In:
Science of the Total Environment.
799
, 149286.
Research output
:
Contribution to journal
›
Article
›
peer-review
Support Vector Machine
100%
Learning System
100%
Major Factor
50%
Feature Extraction
50%
Human Health
50%
19
Scopus citations