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Related papers: Prediction of Sewer Pipe Deterioration Using Rando…

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The degradation of sewer pipes poses significant economical, environmental and health concerns. The maintenance of such assets requires structured plans to perform inspections, which are more efficient when structural and environmental…

Machine Learning · Computer Science 2023-07-14 Fidae El Morer , Stefan Wittek , Andreas Rausch

Understanding performance and prioritizing resources for the maintenance of the drinking-water pipe network throughout its life-cycle is a key part of water asset management. Renovation of this vital network is generally hindered by the…

Signal Processing · Electrical Eng. & Systems 2020-07-09 Maryam Rahbaralam , David Modesto , Jaume Cardús , Amir Abdollahi , Fernando M Cucchietti

The aging sewer infrastructure in the U.S., covering 2.1 million kilometers, encounters increasing structural issues, resulting in around 75,000 yearly sanitary sewer overflows that present serious economic, environmental, and public health…

Machine Learning · Computer Science 2025-04-08 Mohsen Mohammadagha , Mohammad Najafi , Vinayak Kaushal , Ahmad Mahmoud Ahmad Jibreen

In this work, we formulated a real-world problem related to sewer pipeline gas detection using the classification-based approaches. The primary goal of this work was to identify the hazardousness of sewer pipeline to offer safe and…

Neural and Evolutionary Computing · Computer Science 2017-07-04 Varun Kumar Ojha , Paramartha Dutta , Atal Chaudhuri

Australian water infrastructure is more than a hundred years old, thus has begun to show its age through water main failures. Our work concerns approximately half a million pipelines across major Australian cities that deliver water to…

Machine Learning · Computer Science 2020-11-18 Dilusha Weeraddana , Sudaraka MallawaArachchi , Tharindu Warnakula , Zhidong Li , Yang Wang

Reducing water losses is one of the most pressing issues for modern water utilities. To that end, improving the efficiency of the pipe leakage and repair process and aiding the selection of the pipes that are to be renewed or rehabilitated…

Databases · Computer Science 2023-11-30 Marie Collet , Nicolas Rodriguez , Selma Baati , Alain Husson , Eddy Renaud , Kevin Caillaud , Yves Le Gat

Climate change poses increasingly complex challenges to our society. Extreme weather events such as floods, wild fires or droughts are becoming more frequent, spontaneous and difficult to foresee or counteract. In this work we specifically…

Machine Learning · Computer Science 2024-01-08 Teodor Chiaburu , Felix Biessmann

The increasing prevalence of marine pollution during the past few decades motivated recent research to help ease the situation. Typical water quality assessment requires continuous monitoring of water and sediments at remote locations with…

Machine Learning · Computer Science 2022-03-08 Xiaoting Xu , Tin Lai , Sayka Jahan , Farnaz Farid

Climate change increases the frequency of extreme rainfall, placing a significant strain on urban infrastructures, especially Combined Sewer Systems (CSS). Overflows from overburdened CSS release untreated wastewater into surface waters,…

Machine Learning · Computer Science 2025-08-13 Vipin Singh , Tianheng Ling , Teodor Chiaburu , Felix Biessmann

Pipelines tubes are part of vital mechanical systems largely used in petrochemical industries. They serve to transport natural gases or liquids. They are cylindrical tubes and are submitted to the risks of corrosion due to high PH…

General Physics · Physics 2012-12-31 Abdo Abou Jaoude , Seifedine Kadry , Khaled El-Tawil , Hassan Noura , Mustapha Ouladsine

Worldwide, sewer networks are designed to transport wastewater to a centralized treatment plant to be treated and returned to the environment. This process is critical for the current society, preventing waterborne illnesses, providing safe…

Computer Vision and Pattern Recognition · Computer Science 2020-02-05 Mario A. Gutierrez-Mondragon , Dario Garcia-Gasulla , Sergio Alvarez-Napagao , Jaume Brossa-Ordoñez , Rafael Gimenez-Esteban

Perhaps surprisingly sewerage infrastructure is one of the most costly infrastructures in modern society. Sewer pipes are manually inspected to determine whether the pipes are defective. However, this process is limited by the number of…

Computer Vision and Pattern Recognition · Computer Science 2021-03-22 Joakim Bruslund Haurum , Thomas B. Moeslund

Degradation modeling has traditionally relied on historical signals to estimate the behavior of the underlying degradation process. Many models assume that these historical signals are acquired under the same environmental conditions and…

Applications · Statistics 2014-12-04 Rensheng Zhou , Nicoleta Serban , Nagi Gebraeel

Leak detection in gas pipelines is an important and persistent problem in the Oil and Gas industry. This is particularly important as pipelines are the most common way of transporting natural gas. This research aims to study the ability of…

Machine Learning · Computer Science 2022-09-22 Adebayo Oshingbesan

Infrastructure deterioration poses significant challenges for asset management, yet existing approaches rely on population-averaged models that overlook equipment-specific heterogeneity. We present a novel framework that combines Bayesian…

Applications · Statistics 2026-05-21 Takato Yasuno

The task of detecting and classifying damages in sewer pipes offers an important application area for computer vision algorithms. This paper describes a system, which is capable of accomplishing this task solely based on low quality and…

Computer Vision and Pattern Recognition · Computer Science 2019-12-12 Johannes Künzel , Thomas Werner , Ronja Möller , Peter Eisert , Jan Waschnewski , Ralf Hilpert

Prediction of dynamic environmental variables in unmonitored sites remains a long-standing challenge for water resources science. The majority of the world's freshwater resources have inadequate monitoring of critical environmental…

Machine Learning · Computer Science 2025-01-29 Jared D. Willard , Charuleka Varadharajan , Xiaowei Jia , Vipin Kumar

Underground water and wastewater pipelines are vital for city operations but plagued by anomalies like leaks and infiltrations, causing substantial water loss, environmental damage, and high repair costs. Conventional manual inspections…

Machine Learning · Computer Science 2025-10-09 Qiming Guo , Bishal Khatri , Hua Zhang , Wenlu Wang

Air pollution stands as the fourth leading cause of death globally. While extensive research has been conducted in this domain, most approaches rely on large datasets when it comes to prediction. This limits their applicability in…

Machine Learning · Computer Science 2024-01-10 Mulomba Mukendi Christian , Hyebong Choi

Efficient irrigation management is crucial to agriculture, forestry and horticulture, especially under climate change. Developments in novel sensors and Internet of Things technology provide an opportunity to carry out real-time monitoring…

Applications · Statistics 2026-05-13 Mengyi Gong , Rebecca Killick , Andrew Hirons
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