[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
convenient, and efficient with potentially enormous economic and environmental benefits …
Machine learning for landslides prevention: a survey
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 …
severely destructive outcomes to human life and the overall economic system. To reduce its …
Deep transfer learning for signal detection in ambient backscatter communications
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 …
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
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 …
determination of the Earthquake's (EQ's) magnitude and its location is significant in disaster …