dc.contributor.author |
Gupta, Karunesh Kumar |
|
dc.contributor.author |
Gupta, Rajiv |
|
dc.date.accessioned |
2023-02-27T10:53:32Z |
|
dc.date.available |
2023-02-27T10:53:32Z |
|
dc.date.issued |
2018 |
|
dc.identifier.uri |
https://dwes.copernicus.org/articles/11/9/2018/dwes-11-9-2018-relations.html |
|
dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9361 |
|
dc.description.abstract |
Drinking-water quality monitoring is essential before consumption, as the available water is contaminated and can cause illness in an individual. The traditional methods for water quality monitoring require sample collection at different sites and a subsequent laboratory test which is labor- and cost-intensive. To, overcome this problem, a real-time drinking water quality measurement platform is designed which can provide on-site efficient water quality monitoring. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
DWES |
en_US |
dc.subject |
EEE |
en_US |
dc.subject |
Soft Computing |
en_US |
dc.subject |
Water quality monitoring |
en_US |
dc.subject |
Soft Computing |
en_US |
dc.title |
Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring |
en_US |
dc.type |
Article |
en_US |