Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

The numbers of natural disaster events are continuously affecting human and the world
economics. For coping with disaster, several sectors try to develop the frameworks, systems …

An industry-wide paradigm change has been sparked by the growth of Internet of Things
(IoT)-based Wireless Sensor Networks (WSNs), which has made reliable and effective …

Abstract A mobile Wireless Sensor Network (mWSN) is composed of a large number of tiny,
inexpensive resource-constrained sensors scattered in the field of interest, with the sink …

Due to the frequently occurring disasters in the world, emergency management is an
attractive research area aiming to stabilize the disasters and reduce the potential damage to …

Smart cities need technologies that can be really applied to raise the quality of life and
environment. Among all the possible solutions, Internet of Things (IoT)-based Wireless …

Wireless sensor networks (WSNs) are considered producers of large amounts of rich data.
Four types of data-driven models that correspond with various applications are identified as …

Earthquakes are unpredictable natural events that cause a high number of casualties every
year. During an earthquake, furniture and mobile equipment can either become obstacles or …

Location‐based underwater communication applications such as strategic surveillance,
disaster prevention, marine research, and mine detection have given the field of underwater …

The development of efficient sensing technologies and the maturation of the Internet of
Things (IoT) paradigm and related protocols have considerably fostered the expansion of …