Industrial Internet of Things and its applications in industry 4.0: State of the art

PK Malik, R Sharma, R Singh, A Gehlot… - Computer …, 2021 - Elsevier
Abstract Industrial Internet of Things (IIoT) is a convincing stage by interfacing different
sensors around us to the Internet, giving incredible chances for the acknowledgment of …

Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management

R Damaševičius, N Bacanin, S Misra - Journal of Sensor and Actuator …, 2023 - mdpi.com
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …

Big data and disaster management: a systematic review and agenda for future research

S Akter, SF Wamba - Annals of Operations Research, 2019 - Springer
The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

Seismic intensity estimation for earthquake early warning using optimized machine learning model

MS Abdalzaher, MS Soliman… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The need for an earthquake early-warning system (EEWS) is unavoidable to save lives. In
terms of managing earthquake disasters and achieving effective risk mitigation, the quick …

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 …

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 …

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 …

An incentive mechanism for building a secure blockchain-based internet of things

X Ding, J Guo, D Li, W Wu - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
The world-changing blockchain technique provides a novel method to establish a secure,
trusted, and decentralized system for solving the security and personal privacy problems in …

Machine learning for emergency management: A survey and future outlook

C Kyrkou, P Kolios, T Theocharides… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Emergency situations encompassing natural and human-made disasters, as well as their
cascading effects, pose serious threats to society at large. Machine learning (ML) algorithms …