Recent advances in internet of things solutions for early warning systems: A review

M Esposito, L Palma, A Belli, L Sabbatini, P Pierleoni - Sensors, 2022 - mdpi.com
Natural disasters cause enormous damage and losses every year, both economic and in
terms of human lives. It is essential to develop systems to predict disasters and to generate …

A survey of emergencies management systems in smart cities

DG Costa, JPJ Peixoto, TC Jesus, P Portugal… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …

A deep learning model for earthquake parameters observation in IoT system-based earthquake early warning

MS Abdalzaher, MS Soliman… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Earthquake early-warning system (EEWS) is inevitable for saving human lives. The fast
determination of the Earthquake's (EQ's) magnitude and its location is significant in disaster …

A survey of Internet of Things (IoT) for geohazard prevention: Applications, technologies, and challenges

G Mei, N Xu, J Qin, B Wang, P Qi - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Geologic hazards (geohazards) are naturally occurring or human-activity-induced geologic
conditions capable of causing damage or loss of property and/or life. geohazards, such as …

The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects

SA Shah, DZ Seker, S Hameed, D Draheim - IEEE Access, 2019 - ieeexplore.ieee.org
The recent development of big data analytics (BDA) and the Internet of Things (IoT)
technologies create a huge opportunity for both disaster management systems and disaster …

A systematic review of prediction methods for emergency management

D Huang, S Wang, Z Liu - International Journal of Disaster Risk Reduction, 2021 - Elsevier
With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …

Employing remote sensing, data communication networks, ai, and optimization methodologies in seismology

MS Abdalzaher, HA Elsayed… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Seismology is among the intrinsic sciences that strictly affect human lives. Many research
efforts are presented in the literature aiming at achieving risk mitigation and disaster …

Sensors for context-aware smart healthcare: A security perspective

E Batista, MA Moncusi, P López-Aguilar… - Sensors, 2021 - mdpi.com
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …

[图书][B] Geospatial Technology for Landscape and Environmental Management

PK Rai, VN Mishra, P Singh - 2022 - Springer
Landscapes are spatial mosaics of interacting biophysical and socioeconomic components
that provide living space for mankind. A landscape can be described by its composition and …

Digital twin smart cities for disaster risk management: a review of evolving concepts

MRMF Ariyachandra, G Wedawatta - Sustainability, 2023 - mdpi.com
Natural hazard-induced disasters have caused catastrophic damage and loss to buildings,
infrastructure, and the affected communities as a whole during the recent decades and their …