A novel approach based on machine learning and public engagement to predict water-scarcity risk in urban areas
Climate change, population growth and urban sprawl have put a strain on water supplies across the world, making it difficult to meet water demand, especially in city regions where more than half of the world’s population now reside. Due to the complex urban fabric, conventional techniques should be...
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Main Authors: | , , , |
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Format: | Article |
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Multidisciplinary Digital Publishing Institute
2022
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Online Access: | http://psasir.upm.edu.my/id/eprint/100263/ https://www.mdpi.com/2220-9964/11/12/606 |
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