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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

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

Lookup NU author(s): Dr Varun OjhaORCiD

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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


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