ePrints

Identifying the hazardousness of sewer-pipeline gas-mixture using classification methods

Lookup NU author(s): Dr Varun OjhaORCiD

Downloads

• Accepted version [.pdf]

Licence

This is the authors' accepted manuscript of an article that has been published in its final definitive form by Springer UK, 2016.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Ojha VK, Dutta P, Chaudhuri A

Publication type: Article

Publication status: Published

Journal: Neural Computing Application

Year: 2016

Volume: 28

Pages: 1343–1354

Online publication date: 28/06/2016

Acceptance date: 19/06/2016

Date deposited: 11/05/2023

ISSN (print): 0941-0643

ISSN (electronic): 1433-3058

Publisher: Springer UK

URL: https://doi.org/10.1007/s00521-016-2443-0

DOI: 10.1007/s00521-016-2443-0

Altmetrics

Share