[HTML][HTML] 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 …
Low-cost sensor-based and LoRaWAN opportunities for landslide monitoring systems on IoT platform: a review
Landslides are a frequent natural hazard during the rainy season, causing infrastructural
and economic damage globally. Several studies on landslide monitoring techniques have …
and economic damage globally. Several studies on landslide monitoring techniques have …
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 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 …
efforts are presented in the literature aiming at achieving risk mitigation and disaster …
[HTML][HTML] Industry 4.0, disaster risk management and infrastructure resilience: a systematic review and bibliometric analysis
The fourth industrial era, known as 'Industry 4.0'(I4. 0), aided and abetted by the digital
revolution, has attracted increasing attention among scholars and practitioners in the last …
revolution, has attracted increasing attention among scholars and practitioners in the last …
[HTML][HTML] Julia language in machine learning: Algorithms, applications, and open issues
Abstract Machine learning is driving development across many fields in science and
engineering. A simple and efficient programming language could accelerate applications of …
engineering. A simple and efficient programming language could accelerate applications of …
Improving coal mine safety with internet of things (IoT) based Dynamic Sensor Information Control System
Coal is a key fuel source and an important resource for a wide range of businesses. The
hazardous and potentially poisonous nature of the work also has to be taken into …
hazardous and potentially poisonous nature of the work also has to be taken into …
[HTML][HTML] A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data
Slope deformation prediction is crucial for early warning of slope failure, which can prevent
property damage and save human life. Existing predictive models focus on predicting the …
property damage and save human life. Existing predictive models focus on predicting the …
[HTML][HTML] Using the Google Earth Engine to rapidly monitor impacts of geohazards on ecological quality in highly susceptible areas
Y Yan, Q Zhuang, C Zan, J Ren, L Yang, Y Wen… - Ecological …, 2021 - Elsevier
Frequent geohazards have knock-on effects on ecological quality. Timely and dynamically
monitoring the damage of geohazards to ecological quality is important to the geological …
monitoring the damage of geohazards to ecological quality is important to the geological …