The Design of Pipeline Leak Location Prediction System with Incremental Extreme Learning Machine (I-ELM)-Reference-Cited by-同舟云学术

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The Design of Pipeline Leak Location Prediction System with Incremental Extreme Learning Machine (I-ELM)

Published:2023-11-24 Issue: Volume: Page:214-219
ISSN:
Container-title:2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA)
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Author:

Suyanto ¹,Masduqi Ali²,Arifin Syamsul¹,Fernanda Mohammad Alfaris¹,Asmara Gigih Yuli³

Affiliation:

1. Physics Engineering, Sepuluh Nopember Institute of Technology,Surabaya,Indonesia

2. Environmental Engineering, Sepuluh Nopember Institute of Technology,Surabaya,Indonesia

3. Tugu Tirta Malang Drinking Water, Regional Public Company,Non-Revenue Water Division,Malang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10458145/10458147/10458203.pdf?arnumber=10458203

Reference20 articles.

1. Analysis of Water Losses and Assessment of Initiatives Aimed at Their Reduction in Selected Water Supply Systems

2. Application of neural network and weighted improved PSO for uncertainty modeling and optimal allocating of renewable energies along with battery energy storage

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