Deep learning, machine learning and internet of things in geophysical engineering applications: An overview

K Dimililer, H Dindar, F Al-Turjman - Microprocessors and Microsystems, 2021 - Elsevier
Abstract The earthquakes in Eastern Mediterranean are mostly tectonic. The earthquakes
that are 60 km deep in the ground are called Shallow earthquakes. The earthquakes in the …

A survey of Internet of Things (IoT) for geohazard prevention: Applications, technologies, and challenges

G Mei, N Xu, J Qin, B Wang, P Qi - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Geologic hazards (geohazards) are naturally occurring or human-activity-induced geologic
conditions capable of causing damage or loss of property and/or life. geohazards, such as …

Importance of machine learning and deep learning algorithms in earthquake prediction: a review

G Gürsoy, A Varol, A Nasab - 2023 11th International …, 2023 - ieeexplore.ieee.org
Earthquakes are the leading natural disasters that have caused loss of life and property
since the formation of the world. Machine learning and deep learning are frequently used in …

Building structural analysis based Internet of Things network assisted earthquake detection

R Duggal, N Gupta, A Pandya, P Mahajan, K Sharma… - Internet of things, 2022 - Elsevier
Analyzing the patterns of earthquakes and creating a system to detect them, can help to
minimize loss of lives. Existing sensor based detection works failed to distinguish between …

Editorial for Internet of Things (IoT) and Artificial Intelligence (AI) in geotechnical engineering

H Zhu, A Garg, XB Yu, HW Zhou - Journal of Rock …, 2022 - ui.adsabs.harvard.edu
We are privileged to be invited by the Honorary Editor-in-Chief, Professor Qihu Qian, Editor-
in-Chief, Professor Xia-Ting Feng, and the editorial staff of the Journal of Rock Mechanics …

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 …

An integrated framework for smart earthquake prediction: IoT, fog, and cloud computing

K Saini, S Kalra, SK Sood - Journal of Grid Computing, 2022 - Springer
Earthquakes are among the most complex and expensive natural catastrophes that humans
face, which strikes without warning. As a result, earthquake prediction has become a …

A deep learning approach for the development of an Early Earthquake Warning system

M Carratù, V Gallo, V Paciello… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the recent period, machine learning approaches have been widely used in many different
fields. For example, in such applications where high immunities to noisy conditions are …

BLESeis: Low-cost IOT sensor for smart earthquake detection and notification

J Won, J Park, JW Park, IH Kim - Sensors, 2020 - mdpi.com
The Internet of Things (IoT) has been implemented to provide solutions for certain event
detection because of ease of installation, computing and communication capability, and cost …

The MyShake platform: a global vision for earthquake early warning

RM Allen, Q Kong, R Martin-Short - Pure and Applied Geophysics, 2020 - Springer
Abstract The MyShake Platform is an operational framework to provide earthquake early
warning (EEW) to people in earthquake-prone regions. It is unique among approaches to …