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A node separator of a graph is a subset S of the nodes such that removing S and its incident edges divides the graph into two disconnected components of about equal size. In this work, we introduce novel algorithms to find small node…

Data Structures and Algorithms · Computer Science 2015-09-04 Peter Sanders , Christian Schulz

Water management is one of the most critical aspects of our society, together with population increase and climate change. Water scarcity requires a better characterization and monitoring of Water Distribution Networks (WDNs). This paper…

Signal Processing · Electrical Eng. & Systems 2025-05-13 Tiziana Cattai , Stefania Sardellitti , Stefania Colonnese , Francesca Cuomo , Sergio Barbarossa

This article presents a leak localization methodology based on state estimation and learning. The first is handled by an interpolation scheme, whereas dictionary learning is considered for the second stage. The novel proposed interpolation…

Systems and Control · Electrical Eng. & Systems 2023-10-31 Paul Irofti , Luis Romero-Ben , Florin Stoican , Vicenç Puig

Control of water distribution networks (WDNs) can be represented by an optimization problem with hydraulic models describing the nonlinear relationship between head loss, water flow, and demand. The problem is difficult to solve due to the…

Optimization and Control · Mathematics 2019-02-19 Shen Wang , Ahmad F. Taha , Nikolaos Gatsis , Marcio Giacomoni

The metering of gas-liquid flows is difficult due to the non-linear relationship between flow regimes and fluid properties, flow orientation, channel geometry, etc. In fact, a majority of commercial multiphase flow meters have a low…

Fluid Dynamics · Physics 2020-05-26 Akshay J. Dave , Annalisa Manera

In several machine learning tasks for graph structured data, the graphs under consideration may be composed of a varying number of nodes. Therefore, it is necessary to design pooling methods that aggregate the graph representations of…

Machine Learning · Computer Science 2022-05-20 Effrosyni Simou

The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state-of-the-art of leak…

Signal Processing · Electrical Eng. & Systems 2019-08-27 Uthman Baroudi , Anas Al-Roubaiey , Abdullah Devendiran

Community detection has become an extremely active area of research in recent years, with researchers proposing various new metrics and algorithms to address the problem. Recently, the Weighted Community Clustering (WCC) metric was proposed…

Social and Information Networks · Computer Science 2014-11-04 Matthew Saltz , Arnau Prat-Pèrez , David Dominguez-Sal

The present work proposes a novel two phases model-based strategy for leakage detection. The two phases are: the identification of the district metering area (DMA) and the pipe pre-localization into the identified DMA. The strategy is based…

Signal Processing · Electrical Eng. & Systems 2025-10-22 G. Messa , G. Acconciaioco , S. Ripani , L. Bozzelli , A. Simone , O. Giustolisi

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

Given a graph $G = (V,E)$ with vertex weights $w(v)$ and a desired number of parts $k$, the goal in graph partitioning problems is to partition the vertex set V into parts $V_1,\ldots,V_k$. Metrics for compactness, contiguity, and balance…

Data Structures and Algorithms · Computer Science 2021-02-10 Cyrus Hettle , Shixiang Zhu , Swati Gupta , Yao Xie

Knowing the pressure at all times in each node of a water distribution system (WDS) facilitates safe and efficient operation. Yet, complete measurement data cannot be collected due to the limited number of instruments in a real-life WDS.…

Machine Learning · Computer Science 2021-11-09 Gergely Hajgató , Bálint Gyires-Tóth , György Paál

Early detection of leaks in gas transmission systems is crucial for ensuring uninterrupted gas supply, enhancing operational efficiency, and minimizing environmental and economic risks. This study aims to develop an analytical method for…

Optimization and Control · Mathematics 2025-04-10 Ilgar Aliyev

Water distribution networks are a key component of modern infrastructure for housing and industry. They transport and distribute water via widely branched networks from sources to consumers. In order to guarantee a working network at all…

Machine Learning · Computer Science 2022-04-05 Jonathan Jakob , André Artelt , Martina Hasenjäger , Barbara Hammer

Motivated by performance optimization of large-scale graph processing systems that distribute the graph across multiple machines, we consider the balanced graph partitioning problem. Compared to the previous work, we study the…

Data Structures and Algorithms · Computer Science 2019-02-19 Dmitrii Avdiukhin , Sergey Pupyrev , Grigory Yaroslavtsev

Partitioning graphs into blocks of roughly equal size is widely used when processing large graphs. Currently there is a gap in the space of available partitioning algorithms. On the one hand, there are streaming algorithms that have been…

Data Structures and Algorithms · Computer Science 2021-12-23 Marcelo Fonseca Faraj , Christian Schulz

Water distribution systems (WDS) are an integral part of critical infrastructure which is pivotal to urban development. As 70% of the world's population will likely live in urban environments in 2050, efficient simulation and planning tools…

Machine Learning · Computer Science 2024-03-28 Inaam Ashraf , Janine Strotherm , Luca Hermes , Barbara Hammer

With the advent of integrated sensor technology (smart flow meters and pressure sensors), various new numerical algorithms for leak localization (a core element of water distribution system operation) have been developed. However, there is…

Systems and Control · Electrical Eng. & Systems 2024-03-18 Victor Molnö , Henrik Sandberg

Convolutional graph networks are used in particle physics for effective event reconstructions and classifications. However, their performances can be limited by the considerable amount of sensors used in modern particle detectors if applied…

High Energy Physics - Experiment · Physics 2022-10-10 M. Bachlechner , T. Birkenfeld , P. Soldin , A. Stahl , C. Wiebusch

Change point detection (CPD) has proved to be an effective tool for detecting drifts in data and its use over the years has become more pronounced due to the vast amount of data and IoT devices readily available. This study analyzes the…

Systems and Control · Electrical Eng. & Systems 2024-07-15 Takudzwa Mzembegwa , Clement N Nyirenda