[HTML][HTML] Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering
Reducing pipe leakage is one of the top priorities for water companies, with many investing
in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most …
in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most …
The role of artificial intelligence in sustainable water management in Asia: a systematic literature review with bibliographic network visualization
Many areas in Asia may lack the necessary infrastructure, such as sensor networks and data
analytics platforms, to support artificial intelligence (AI) applications effectively. Additionally …
analytics platforms, to support artificial intelligence (AI) applications effectively. Additionally …
Leveraging deep learning and language models in revolutionizing water resource management, research, and policy making: A case for ChatGPT
PP Ray - ACS ES&T Water, 2023 - ACS Publications
The use of artificial intelligence (AI) and advanced language models like ChatGPT is not
only innovative but also crucial in handling the multifaceted challenges related to water …
only innovative but also crucial in handling the multifaceted challenges related to water …
[PDF][PDF] Leveraging artificial intelligence to meet the sustainable development goals
Aim/purpose–This study aims to identify the role of Artificial Intelligence (AI) in achieving the
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …
Causal inference to enhance ai trustworthiness in environmental decision-making
We present a causal model specifically designed for an environmental decision-making
context, focusing on agricultural choices and the delicate balance between changes in water …
context, focusing on agricultural choices and the delicate balance between changes in water …
Artificial Intelligence, Internet of Things, and Machine-Learning: To Smart Irrigation and Precision Agriculture
FZ Akensous, N Sbbar, L Ech-chatir… - … Applications in Water …, 2023 - igi-global.com
Water scarcity has been escalating both in terms of frequency and severity, owing to climate
change and global warming. Furthermore, water is a vital source that is at the core of crucial …
change and global warming. Furthermore, water is a vital source that is at the core of crucial …
Ensemble Empirical Mode Decomposition Granger Causality Test Dynamic Graph Attention Transformer Network: Integrating Transformer and Graph Neural Network …
W Wu, Y Kang - Applied Sciences, 2024 - mdpi.com
Accurate water demand forecasting is crucial for optimizing the strategies across multiple
water sources. This paper proposes the Ensemble Empirical Mode Decomposition Granger …
water sources. This paper proposes the Ensemble Empirical Mode Decomposition Granger …
Influence of Artificial Intelligence on Resource Consumption
Industry 4.0 presents companies with an opportunity to embrace circular models that are
increasingly pressing. This study examines how Artificial Intelligence contributes to …
increasingly pressing. This study examines how Artificial Intelligence contributes to …
Leveraging artificial intelligence to meet the sustainable development goals
Aim/purpose–This study aims to identify the role of Artificial Intelligence (AI) in achieving the
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …
[HTML][HTML] Hybrid Transient-Machine Learning Methodology for Leak Detection in Water Transmission Mains
This contribution proposes a hybrid approach integrating transient test-based techniques
with machine learning for automatic leak detection in water transmission mains. Transient …
with machine learning for automatic leak detection in water transmission mains. Transient …