[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 Xiong, 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 …
Reliability in Internet of Things: Current status and future perspectives
L Xing - 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 …
The interaction between internet, sustainable development, and emergence of society 5.0
(1) Background: The importance of this article is to analyze the technological developments
in the field of the Internet and Internet technologies and to determine their significance for …
in the field of the Internet and Internet technologies and to determine their significance for …
A systematic review of prediction methods for emergency management
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 …
of catastrophes have posed devastating threats to human life and social stability worldwide …
A review of seismic resilience of shield tunnels
Considering the increasingly complex and interconnected subway tunnels linking cities, this
review argues that the overall reliability of tunnel engineering is crucial for protection when …
review argues that the overall reliability of tunnel engineering is crucial for protection when …
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 …