Development of a Machine Learning Based Smart Water Leak Detection System

A Master of Science thesis in Civil Engineering by Rabab Al Hassani entitled, “Development of a Machine Learning Based Smart Water Leak Detection System”, submitted in December 2024. Thesis advisor is Dr. Md. Maruf Mortula AND thesis co-advisor is Dr. Tarig Ali. Soft copy is available (Thesis, Compl...

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Main Author: Al Hassani, Rabab (author)
Format: doctoralThesis
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/11073/25775
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author Al Hassani, Rabab
author_facet Al Hassani, Rabab
author_role author
dc.contributor.none.fl_str_mv Mortula, Maruf
Ali, Tarig
dc.creator.none.fl_str_mv Al Hassani, Rabab
dc.date.none.fl_str_mv 2024-12
2025-01-20T10:15:55Z
2025-01-20T10:15:55Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2024.44
https://hdl.handle.net/11073/25775
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Leak detection
Machine learning
Classification
Learning curve
Sensor
dc.title.none.fl_str_mv Development of a Machine Learning Based Smart Water Leak Detection System
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Civil Engineering by Rabab Al Hassani entitled, “Development of a Machine Learning Based Smart Water Leak Detection System”, submitted in December 2024. Thesis advisor is Dr. Md. Maruf Mortula AND thesis co-advisor is Dr. Tarig Ali. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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id aus_9da50b8961830a28f39dbd67c07c882f
identifier_str_mv 35.232-2024.44
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/25775
publishDate 2024
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Development of a Machine Learning Based Smart Water Leak Detection SystemAl Hassani, RababLeak detectionMachine learningClassificationLearning curveSensorA Master of Science thesis in Civil Engineering by Rabab Al Hassani entitled, “Development of a Machine Learning Based Smart Water Leak Detection System”, submitted in December 2024. Thesis advisor is Dr. Md. Maruf Mortula AND thesis co-advisor is Dr. Tarig Ali. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Civil EngineeringMaster of Science in Civil Engineering (MSCE)Mortula, MarufAli, Tarig2025-01-20T10:15:55Z2025-01-20T10:15:55Z2024-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2024.44https://hdl.handle.net/11073/25775en_USoai:repository.aus.edu:11073/257752025-06-26T12:24:29Z
spellingShingle Development of a Machine Learning Based Smart Water Leak Detection System
Al Hassani, Rabab
Leak detection
Machine learning
Classification
Learning curve
Sensor
status_str publishedVersion
title Development of a Machine Learning Based Smart Water Leak Detection System
title_full Development of a Machine Learning Based Smart Water Leak Detection System
title_fullStr Development of a Machine Learning Based Smart Water Leak Detection System
title_full_unstemmed Development of a Machine Learning Based Smart Water Leak Detection System
title_short Development of a Machine Learning Based Smart Water Leak Detection System
title_sort Development of a Machine Learning Based Smart Water Leak Detection System
topic Leak detection
Machine learning
Classification
Learning curve
Sensor
url https://hdl.handle.net/11073/25775