[HTML][HTML] Integrating Digital Twins and Artificial Intelligence Multi-Modal Transformers into Water Resource Management: Overview and Advanced Predictive …
TA Syed, MY Khan, S Jan, S Albouq, SS Alqahtany… - AI, 2024 - mdpi.com
Various Artificial Intelligence (AI) techniques in water resource management highlight the
current methodologies' strengths and limitations in forecasting, optimization, and control. We …
current methodologies' strengths and limitations in forecasting, optimization, and control. We …
Blockchain and NFT: a novel approach to support BIM and Architectural Design
M Casillo, F Colace, BB Gupta… - … on Innovation and …, 2022 - ieeexplore.ieee.org
Digital Design is becoming more advanced by the year, software more sophisticated, and
products of ever-increasing quality. In the design and implementation processes of structural …
products of ever-increasing quality. In the design and implementation processes of structural …
Smart water meter based on deep neural network and undersampling for pwnc detection
Having become aware of how limited all the natural resources are, the water leakage
problem in piping systems has become a stimulating topic. This problem increased over the …
problem in piping systems has become a stimulating topic. This problem increased over the …
Introduction to clustering unsupervised machine learning algorithms applied to power quality disturbances
M Catelani, L Ciani, CG Alfonso… - … on Metrology for …, 2024 - ieeexplore.ieee.org
Unsupervised machine learning algorithms, such as clustering and anomaly detection, work
by identifying patterns and anomalies in data without the need for labeled training data …
by identifying patterns and anomalies in data without the need for labeled training data …