Artificial intelligence based real-time earthquake prediction
Earthquake prediction is considered a vital endeavour for human safety. Effective
earthquake prediction can drastically reduce human damage, which is of utmost importance …
earthquake prediction can drastically reduce human damage, which is of utmost importance …
Reconnaissance surveys after June 2022 Khost earthquake in Afghanistan: implication towards seismic vulnerability assessment for future design
Abstract The Khost earthquake in Afghanistan on 22 June 2022 was one of the deadliest,
resulting in over 1500 deaths, 3500 injuries, and the collapse of 15,000 houses in the rural …
resulting in over 1500 deaths, 3500 injuries, and the collapse of 15,000 houses in the rural …
An integrated framework for smart earthquake prediction: IoT, fog, and cloud computing
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 …
face, which strikes without warning. As a result, earthquake prediction has become a …
Seismic signal analysis using empirical wavelet transform for moving ground target detection and classification
In this article, we investigate the potential of empirical wavelet transform (EWT) as a moving
ground target detection and classification technique using seismic signal modality. EWT …
ground target detection and classification technique using seismic signal modality. EWT …
Area-delay-power efficient VLSI architecture of FIR filter for processing seismic signal
Low-complexity, high-speed and re-configurability are the primary requirements of the finite
impulse response (FIR) filters employed for the processing of acquired seismic signal in real …
impulse response (FIR) filters employed for the processing of acquired seismic signal in real …
Uncertainty quantification method for elastic wave tomography of concrete structure using interval analysis
This paper presents a non-probabilistic uncertainty quantification method for the elastic
wave tomography of concrete structures. An interval analysis model is applied to establish …
wave tomography of concrete structures. An interval analysis model is applied to establish …
First arrival picking of microseismic signals based on nested U-Net and Wasserstein Generative Adversarial Network
JL Zhang, GQ Sheng - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Picking the first arrival of microseismic signals, quickly and accurately, is the key for real-time
data processing of microseismic monitoring. The traditional method cannot meet the high …
data processing of microseismic monitoring. The traditional method cannot meet the high …
An automatic arrival time picking algorithm of P-wave based on adaptive characteristic function
A Cheng, E Xu, P Yao, Y Zhou, S Huang, Z Ye - Computers & Geosciences, 2024 - Elsevier
The accuracy of arrival time and picking speed are significant issues in terms of micro-
seismic identification, location, travel-time tomography, as well as source mechanism. In …
seismic identification, location, travel-time tomography, as well as source mechanism. In …
Seismic intensity estimation using multilayer perceptron for onsite earthquake early warning
Automated early preventive measures are necessary to reduce secondary hazards in case
of high-intensity earthquakes, as these have the potential to damage civil structures over a …
of high-intensity earthquakes, as these have the potential to damage civil structures over a …
BLESeis: Low-cost IOT sensor for smart earthquake detection and notification
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 …
detection because of ease of installation, computing and communication capability, and cost …