Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …

Social media platforms are playing increasingly critical roles in disaster response and
rescue operations. During emergencies, users can post rescue requests along with their …

Traditional approaches to flood modelling mostly rely on hydrodynamic physical simulations.
While these simulations can be accurate, they are computationally expensive and …

Abstract Machine learning is considered advantageous smart cities through sentiment
analysis using social media reviews. Social media reviews can be helpful inside smart cities …

Social sensing is based on the idea that communities or groups of people can provide a set
of information similar to those obtainable from a sensor network. Emergency management is …

Natural disasters, as well as human-made disasters, can have a deep impact on wide
geographic areas, and emergency responders can benefit from the early estimation of …

Deep Learning is considered to leverage smart cities through social media sentiment
analysis. The digital content in social media can be used for many smart city applications …

Timely detection and accurate description of extreme events, such as natural disasters and
other crisis situations, are crucial for emergency management and mitigation. Extreme-event …

This work focuses on the analysis of Italian social media messages for disaster management
and aims at the detection of messages carrying critical information for the damage …

In this paper, we describe our approach to classify disaster-related tweets into multilabel
information types (ie, labels). We aim to filter first relevant tweets during disasters. Then, we …