The incidence of floods is rapidly increasing globally, causing significant property damage
and human losses. Moreover, Vietnam ranks as one of the top five countries most severely …

Floods, caused by natural and human-induced factors, are devastating to human livelihoods
and the environment. Measures such as flood early warning are used to mitigate their …

Previous studies show that the fuzzy-based approach predicts incoming floods better than
machine learning (ML). However, with numerous observation points, difficulties in manually …

The aim of study is modeling the complex relationships among enablers of combating the
damages by floods. The study's overall design entails of a literature-review, data-collection …

The Citarum watershed is 3332.97 km long and is the longest river in West Java, Indonesia.
The problem of flooding in upstream areas is caused by an increase in housing …

Previous studies show that the fuzzy-based approach predicts incoming floods better than
machine learning (ML). However, with numerous observation points, difficulties in manually …

Todays, early warning systems are widely applied in real-time flood forecasting operations
as valuable non-structural tools for mitigating the impacts of floods [1]. Although many …

Occurrencesofhackingintentionsandprivacy…. This is true in the smart environment domain,
where captured or recorded datasets serve as inputs for predictions and monitoring systems …

In the context of climate risk mitigation strategies seasonal forecasts have been often
proposed as a potential climate risk management tool for the wine industry. However, in …