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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...

Large fractures tend to dominate the hydraulic and mechanical properties of fracture networks and, consequently, of fractured rock masses. Hence, their characterization is of primary interest in a variety of applications...

The article addresses the challenges of modelling the collective intelligence of innovation-integrated enterprises in the context of digital transformation. An overview of mathematical models used to describe collective ...

The Israel-Palestine conflict which has persisted for decades drives mounting global interest that consequently influences public opinion worldwide. This article examines the sentiment analysis of X (Twitter) data pertai...