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This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

Rainfall prediction efforts had been prevalent ever since the impact of climate change on occurrences of natural disasters globally. Implementation of machine and deep learning techniques on features that contribute to r...

In the Croniche di Lucca, which covers the period of Lucca’s history from 1168 to 1424, we read about many natural disasters. We can read in detail about the lean years of 1181, 1284, 1330, 1348–1350, and 1400, and t...

Landslide are one of the disasters that occur in sloping areas. It occurs very often when the intensity of rainfall is high. Apart from that, it occurs in an area known as a slip area. The slip area is characterized by c...

Optimal evacuation route planning is a crucial factor in disaster mitigation, especially in areas with limited communication infrastructure. This study proposes the application of the A-Star method for evacuation route o...

Today, climate change has become a global crisis threatening not only the environment but also economic, social, and political systems worldwide. This situation necessitates the systematic analysis of both the drivers co...

ABSTRAK Indonesia merupakan negara yang tidak memiliki satu pun wilayah dengan indeks risiko bencana alam yang rendah. Namun demikian, kebijakan pengurangan risiko bencana (PRB) di Indonesia masih menghadapi tantangan...

ABSTRACT Background: Climate change and widespread environmental degradation have increased the risk of natural hazards in recent decades. Hydrological, meteorological, and climatological disasters have become more frequ...

The purpose of writing the article is to find a way out of the situation that has developed in the world economy over the past decades due to the increase in the number of crisis phenomena in the world's economies and th...