Machine Learning Enhances Flood Resilience Measurement in a Coastal Area – Case Study of Morocco-Reference-Cited by-同舟云学术

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Machine Learning Enhances Flood Resilience Measurement in a Coastal Area – Case Study of Morocco

Published:2023 Issue: Volume: Page:
ISSN:1726-2135
Container-title:Journal of Environmental Informatics
language:
Short-container-title:J ENV INFORM

Author:

Satour N., ,Benyacoub B.,El Moçayd N.,Ennaimani Z.,Niazi S.,Kassou N.,Kacimi I., , , , , , ,

Publisher

International Society for Environmental Information Science (ISEIS)

Subject

Computer Science Applications,General Environmental Science,General Decision Sciences

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying weather-induced unreliable public transportation service in cold regions under future climate model scenarios;Sustainable Cities and Society;2024-10

2. Coastal satellite urbanization in the global south: Dynamics, sustainability dilemmas, and pathways for Martil, Morocco;Cities;2024-06

3. Quantifying multidimensional drought propagation risks under climate change: A vine-copula Bayesian factorial analysis method;Journal of Hydrology;2024-06

4. Interactions Between Anthropogenic Greenhouse‐Gas and Aerosol Emissions Will Shape Extreme Precipitations Over the Qinghai‐Tibet Plateau;Geophysical Research Letters;2024-05-13

5. Development of a probabilistic agricultural drought forecasting (PADF) framework under climate change;Agricultural and Forest Meteorology;2024-05

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