Work

Studies on Leak Detection in Process Pipelines Using Artificial Neural Networks/Machine Learning

Year: 2022

Type: conference-paper

Source: ECS Transactions

DOI: 10.1149/10701.4281ecst

Authors: Harshitha N, Ujwal Shreenag Meda, Ashwin Rao Padubidri, Vinayak Hulake

Institution: R.V. College of Engineering

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W3204558720

FWCI: 1.574

Cites: 3

Cited by: 3

Related to: 10