The collapse of houses represents a prominent hazard associated with floods, mudslides,
and other disastrous events resulting from extreme rainfall. Nevertheless, previous research …

Background Studies had suggested increased risk of death of residents was associated with
typhoons, particularly coastal regions. However, these findings ignored the impact of inland …

This research proposes a multimodal deep learning model (VIT-DBN) to enhance typhoon
forecasting capabilities. Traditional machine learning methods relying on unimodal data …

Multimodal data analysis refers to the integration of different types of data (such as images
and numerical features) to leverage the complementarity and interactive information …

Effective detection of abnormal electricity users and analysis of the spatial distribution and
influencing factors of abnormal electricity consumption in urban areas have positive effects …