… urban water security plan. In this paper, we review ways in which advanced machine learning
… multiple water hazards over urban areas. We also describe a vision that integrates these …

… machine learning and further interpretation methods, the spatial variability of water security
… understanding the complex mechanisms of regional water security was provided. The results …

… the best water security strategies. Phase 2 continues the unsupervised machine learning
where … Finally, this 2-phase fuzzy-Machine learning–based framework offers an alternative …

… events from the machine-learning model biases … , water utilities concerned with short-term
security arising from impacts of pipe breaks on water security may favor the machine-learning …

… machine learning models to increase its accuracy. In this study, five new individual models
and their ensemble machine learning … machine learning models for groundwater mapping. …

… of machine learning to enhance our understanding of water … into clusters with different water
access conditions. The Gower … results derived from the machine learning process, we further …

… RTAC) to carry out a study using machine learning (ML) methods to inform the … Water Security,
Sanitation and Hygiene (C4W). More specifically, the study sought to test machine learning…

… as data and analytics (eg, for droughts, floods, basin scenario planning) become increasingly
global, fueled by machine learning that builds on opening up of data access for training. …

… consumes 80% -90% of natural water resources. In this paper, the idea of … water security
is covered through the control of the water supply to plants in optimal ways and reducing water …

… for the agricultural sector in developing economies and for food security globally. In this
article, we demonstrate how machine learning can be used to mine satellite data and identify …