Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

In past few years, advancement in mobile applications and their integration with Cloud
computing services has introduced a new computing paradigm known as Mobile Cloud …

Every year, natural disasters cause major loss of human life, damage to infrastructure and
significant economic impact on the areas involved. Geospatial Scientists aim to help in …

Massive amounts of data and information are exchanged during the response phase of
disaster management. A large body of contemporary research has indicated that most of …

The flood disaster management system (FDMS) is a platform developed to provide ongoing
disaster reduction capabilities that cover the entire process of flood management. The …

The term “disaster management” comprises both natural and man-made disasters. Highly
pervaded with various types of sensors, our environment generates large amounts of data …

In the domain of emergency management during hazard crises, having sufficient situational
awareness information is critical. It requires capturing and integrating information from …

< jats: p> Disaster recovery is a persistent problem in IT platforms. This problem is more
crucial in cloud computing, because Cloud Service Providers (CSPs) have to provide the …

ABSTRACT Virtual Landslide Disaster environments are important for multilevel simulation,
analysis and decision-making about Landslide Disasters. However, in the existing related …

With the rapid development of the Internet of Things (IoT) and Big Data infrastructure,
crowdsourcing techniques have emerged to facilitate data processing and problem solving …