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My bibliography Save this articleUrban Flood-Risk Assessment: Integration of Decision-Making and Machine Learning
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- Roy Brouwer & Sonia Akter & Luke Brander & Enamul Haque, 2007. "Socioeconomic Vulnerability and Adaptation to Environmental Risk: A Case Study of Climate Change and Flooding in Bangladesh," Risk Analysis, John Wiley & Sons, vol. 27(2), pages 313-326, April.
- Chi Xie & Changqing Luo & Xiang Yu, 2011. "Financial distress prediction based on SVM and MDA methods: the case of Chinese listed companies," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 671-686, April.
- Omid Rahmati & Hamid Reza Pourghasemi, 2017. "Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1473-1487, March.
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- Pandey, Dharen Kumar & Hunjra, Ahmed Imran & Bhaskar, Ratikant & Al-Faryan, Mamdouh Abdulaziz Saleh, 2023. "Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022," Resources Policy, Elsevier, vol. 86(PA).
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Keywords
decision making; hazard; machine learning; risk; urban flood; vulnerability;All these keywords.
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