This study undertakes a comparative analysis of four distinct deep learning models, ie,
Convolutional Neural Network (CNN), Deep Neural Network (DNN), Recurrent Neural …

Remote sensing satellites have emerged as invaluable tools for surveilling natural disasters
with more inevitable insights at various altitudes in atmosphere for various precursors …

This study proposes a new hybrid approach that utilizes post-earthquake survey data and
numerical analysis results from an evolving finite element routing model to capture …

Liquefaction, which typically occurs in saturated sandy soil deposits, is one of the destructive
phenomena that can occur during an earthquake. When the soil reaches liquefied state, it …

The classical triple-porosity model, which comprises a fracture system, nanotube system,
and matrix system, has been widely applied to match and characterize the gas depletion …