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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...

This article assesses the current state of botanical collections in Argentine herbaria, with a particular focus on data and image digitization, collection management, and the publication of information through publicly a...

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...

The article contains results of a statistical study of water resource accounting in Ukraine in the conditions of martial law. The regulatory framework of water use is shown: constitutional principles and provisions of th...

In practice, speed limits on road networks are often determined pragmatically, which can give suboptimal solutions for traffic performance and unfair results for the underlying user classes. This study presents an elegan...