Explainable artificial intelligence for sustainable urban water systems engineering
Explainable Artificial Intelligence (XAI) has potential for revolutionary improvements in operational efficiency, resilience, and decision-making in the engineering of sustainable urban water systems. Presenting cutting-edge approaches in XAI (such as SHAP (Shapley Additive Explanations), LIME (Loca...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302500430X |
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