[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X **ong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

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 …

Early detection of earthquakes using iot and cloud infrastructure: A survey

MS Abdalzaher, M Krichen, D Yiltas-Kaplan… - Sustainability, 2023 - mdpi.com
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …

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 …

Employing machine learning and iot for earthquake early warning system in smart cities

MS Abdalzaher, HA Elsayed, MM Fouda, MM Salim - Energies, 2023 - mdpi.com
An earthquake early warning system (EEWS) should be included in smart cities to preserve
human lives by providing a reliable and efficient disaster management system. This system …

Reliability in Internet of Things: Current status and future perspectives

L **ng - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) aims to transform the human society toward becoming intelligent,
convenient, and efficient with potentially enormous economic and environmental benefits …

Machine learning for landslides prevention: a survey

Z Ma, G Mei, F Piccialli - Neural Computing and Applications, 2021 - Springer
Landslides are one of the most critical categories of natural disasters worldwide and induce
severely destructive outcomes to human life and the overall economic system. To reduce its …

Deep transfer learning for signal detection in ambient backscatter communications

C Liu, Z Wei, DWK Ng, J Yuan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Tag signal detection is one of the key tasks in ambient backscatter communication (AmBC)
systems. However, obtaining perfect channel state information (CSI) is challenging and …

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 …