The ongoing COVID-19 pandemic has posed a severe threat to public health worldwide. In
this study, we aimed to evaluate several digital data streams as early warning signals of …

Due to industry demands and massive applications, the social media landscape is rapidly
expanding. However, in Sri Lanka, analyzing social media data is still considered a young …

Abstract The geological disasters Named Entity Recognition (NER) method aims to
recognize entities reflecting disaster event information in unstructured texts to construct a …

Drone examination has been overall quickly embraced by NDMM (natural disaster
mitigation and management) division to survey the state of impacted regions. Manual video …

Emergency events arise when a serious, unexpected, and often dangerous threat affects
normal life. Hence, knowing what is occurring during and after emergency events is critical …

Crimes have affected the quality of life and economic growth of the country badly. The
authors can identify the crime patterns and predict the crimes by detecting and analyzing the …

During large-scale disasters it is not uncommon for Public Safety Answering Points (eg, 9-1-
1) to encounter service disruptions or become overloaded due to call volume. As observed …

Crime prediction is an important task to reduce criminal activities in the society. We can
minimize the harm by identifying the crimes hotspot before any crime happens using a crime …

Crime has grown tremendously because of a growing population. So, crime prediction is an
important instrument for the safety of civilians to aid law enforcement officials. Crime …

Crime is defined as an act harmful not only to the individual involved but also to the
community as a whole. We can identify the crime patterns and predict the crimes by …