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Angelly de Jesus Pugliese Viloria

1 paper indexed

crossrefRemote Sensing2024-09-11Cited by 31

Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review

Angelly de Jesus Pugliese Viloria, Andrea Folini, Daniela Carrion, Maria Antonia Brovelli

With the increase in climate-change-related hazardous events alongside population concentration in urban centres, it is important to provide resilient cities with tools for understanding and eventually preparing for such events. Machine learning (ML) and deep learning (DL) techni…

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