Work

Leveraging Genetic Algorithms for Enhanced Convolutional Neural Network Performance in Detecting Pipeline Leaks: A Case Study of Ede Water Works, Nigeria

Year: 2024

Type: conference-paper

DOI: 10.1109/nigercon62786.2024.10927371

Authors: Olayiwola Ojo, Raphael Akinyede, Olufunso Alowolodu

Institutions: University of Ilesa, Federal University of Technology

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408793535

FWCI:

Cites: 15

Cited by:

Related to: 10