Artificial intelligence technology in the agricultural sector: A systematic literature review

E Elbasi, N Mostafa, Z AlArnaout, AI Zreikat… - IEEE …, 2022 - ieeexplore.ieee.org
Due to the increasing global population and the growing demand for food worldwide as well
as changes in weather conditions and the availability of water, artificial intelligence (AI) such …

A review on current technologies and future direction of water leakage detection in water distribution network

MR Islam, S Azam, B Shanmugam, D Mathur - IEEE Access, 2022 - ieeexplore.ieee.org
Water leakage in the supply system is a silent problem that costs billions of dollars yearly. As
these supply pipes are mostly underground, this leakage remains undetected for a long …

[HTML][HTML] Review of water leak detection methods in smart building applications

NAM Yussof, HW Ho - Buildings, 2022 - mdpi.com
In recent years, the identification of water leak detection methods has entered a wide range
of fields. Pipeline failures in water distribution networks lead to the loss of a considerable …

Leak detection methods in water distribution networks: a comparative survey on artificial intelligence applications

M Kammoun, A Kammoun, M Abid - Journal of Pipeline Systems …, 2022 - ascelibrary.org
Essentially, water is an extremely vital resource for human beings. However, each year, a
significant amount of water is lost because of leakages in multiple water distribution systems …

[HTML][HTML] Vibro-acoustic distributed sensing for large-scale data-driven leak detection on urban distribution mains

L Bykerk, J Valls Miro - Sensors, 2022 - mdpi.com
Non-surfacing leaks constitute the dominant source of water losses for utilities worldwide.
This paper presents advanced data-driven analysis methods for leak monitoring using …

[HTML][HTML] Building a smart water city: iot smart water technologies, applications, and future directions

NJ Okoli, B Kabaso - Water, 2024 - mdpi.com
Water is an essential service for the sustainable development and economic
competitiveness of any country. The global water demand has increased substantially due to …

[HTML][HTML] Smart Buildings: Water Leakage Detection Using TinyML

O Atanane, A Mourhir, N Benamar, M Zennaro - Sensors, 2023 - mdpi.com
The escalating global water usage and the increasing strain on major cities due to water
shortages highlights the critical need for efficient water management practices. In water …

Leveraging machine learning for pipeline condition assessment

H Lu, ZD Xu, X Zang, D Xi, T Iseley… - Journal of Pipeline …, 2023 - ascelibrary.org
Pipeline condition assessment is a cost-effective method to determine the status of pipeline
structure and predict failure probability. Although 100% inspection may not be feasible for …

A survey and study of signal and data-driven approaches for pipeline leak detection and localization

U Rajasekaran, M Kothandaraman - Journal of Pipeline Systems …, 2024 - ascelibrary.org
A pipeline is critical in conveying water, oil, gas, petrochemicals, and slurry. As the pipeline
ages and corrodes, it becomes susceptible to deterioration, resulting in wastage and …

[HTML][HTML] Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing

J García, A Leiva-Araos, E Diaz-Saavedra, P Moraga… - Applied Sciences, 2023 - mdpi.com
Water infrastructure integrity, quality, and distribution are fundamental for public health,
environmental sustainability, economic development, and climate change resilience …