As artificial intelligence advances and demand for cost-effective equipment maintenance in
various fields increases, it is worth insightful research on utilizing robots embedded with …

Abstract Water Distribution Networks (WDNs) are susceptible to pipe failures with significant
consequences. Predicting wall-thickness loss in pipes is vital for proactive maintenance and …

Leakage in water pipelines causes the loss of valuable amounts of water and can result in
considerable environmental damage. This study presents a real-time leak localization …

Water leakage from aging water and wastewater pipes is a persistent problem, necessitating
the improvement of existing leak detection and response methods. In this study, we …

Leaks in water distribution networks are estimated to account for up to 30% of the total
distributed water; moreover, the increasing demand and the skyrocketing energy cost have …

This study aims to propose Micro-electromechanical System (MEMS) accelerometers for
leak localization in the water distribution network and assess the performance of machine …

Encouraging sustainable mobility through sidewalk condition improvement is a critical
concern for urban transportation. Sidewalk condition affects pedestrian safety, satisfaction …

Leak detection is a critical concern across various sectors due to its potential environmental,
economic, and safety implications. This paper presents a machine learning-based approach …

A useful tool for making data-driven decisions is machine learning. Numerous issues, such
as those pertaining to weather forecasting and water management, can be resolved using it …