Recent years have witnessed considerable developments in multiple fields with the potential
to enhance our capability of forecasting pluvial flash floods, one of the most costly …

This study investigated literature databases of Google Scholar and Scopus from 1900 to
2021 and reviewed relevant studies conducted to increase transportation infrastructure …

The objective of this study is to predict the near-future flooding status of road segments
based on their own and adjacent road segments' current status through the use of deep …

Smart cities represent a new perspective on modern urban development. They involve an
information infrastructure environment with application intelligence to improve operational …

Since flooding in urban areas is rarely observed using sensors, most researchers use
artificial intelligence (AI) models to predict flood hazards based on model simulation data …

Vulnerability to disasters is both dynamic and context-specific. Understanding the
construction of vulnerability to disasters is important because the survival of communities is …

Abstract Study region City of Niamey, Niger, West Africa. Study focus This paper aims to
explore the possibility of implementing a probabilistic framework for flood risk estimation for …

Regarding urban flooding issues, applying Artificial Intelligence (AI) methodologies can
provide a timely prediction of imminent incidences of flash floods. The study aims to develop …

Flooding is becoming a prominent issue in coastal cities, flood forecasting is the key to
solving this problem. However, the lack and imbalance of research data and the insufficient …

A method of compartmentalization has been developed to address the safety concerns of
urban areas from coastal flooding, especially in situations where reinforcing the first line of …