Multiproduct Pipeline Leak Detection and Localization System Using Artificial Intelligence
Crossref DOI link: https://doi.org/10.1007/s42979-020-00144-9
Published Online: 2020-04-23
Published Print: 2020-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Omojugba, Bukunmi
Oyetunji, Samson
Adetan, Oluwumi
Text and Data Mining valid from 2020-04-23
Version of Record valid from 2020-04-23
Article History
Received: 29 March 2020
Accepted: 1 April 2020
First Online: 23 April 2020
Compliance with Ethical Standards
:
: The authors declare that there is no conflict of interest.