Results 261 to 270 of about 5,037,076 (326)

Earthquake Detection with tinyML

Seismological Research Letters, 2023
Abstract Earthquake detection is the critical first step in earthquake early warning (EEW) systems. For robust EEW systems, detection accuracy, detection latency, and sensor density are critical to providing real-time earthquake alerts.
T. Clements
openaire   +2 more sources

IoT Based Earthquake Detection System

Journal of Advanced Research in Applied Sciences and Engineering Technology
This paper proposes an IoT based Earthquake Detection System for the early warning and quick detection of the earthquake. Earthquakes are one of the rare natural disasters in Malaysia but when the earthquake happened, it could damage infrastructure and cause deaths.
Norfatihah Bahari, Nor Irfan Multazam Nor Azmi, Mohd Wafi Nasrudin, Rashidah Che Yob, Nur Hidayah Ramli, Herwansyah Lago   +5 more
openaire   +2 more sources

EQCCT: A Production-Ready Earthquake Detection and Phase-Picking Method Using the Compact Convolutional Transformer

IEEE Transactions on Geoscience and Remote Sensing, 2023
We propose to implement a compact convolutional transformer (CCT) for picking the earthquake phase arrivals (EQCCT). The proposed method consists of two branches, with each of them responsible for picking the arrival times of the P- or S-wave phases.
O.M. Saad, Yunfeng Chen, Daniel Siervo, Fangxue Zhang, A. Savvaidis, Guo-chin Dino Huang, Nadine Igonin, Sergey Fomel, Y. Chen   +8 more
semanticscholar   +1 more source

IPIML: A Deep-Scan Earthquake Detection and Location Workflow Integrating Pair-Input Deep Learning Model and Migration Location Method

IEEE Transactions on Geoscience and Remote Sensing, 2023
Optimized deep learning (DL)-based workflows can improve the efficiency and accuracy of earthquake detection and location processes. This article introduces a six-step automated event detection, phase association, and earthquake location workflow, which ...
H. Mohammadigheymasi, P. Shi, Nasrin Tavakolizadeh, Zhuowei Xiao, S. Mousavi, L. Matias, Mehran Pourvahab, Rui Fernandes   +7 more
semanticscholar   +1 more source

LightEQ: On-Device Earthquake Detection with Embedded Machine Learning

International Conference on Internet-of-Things Design and Implementation, 2023
The detection of earthquakes in seismological time series is central to observational seismology. Generally, seismic sensors passively record data and transmit it to the cloud or edge for integration, storage, and processing.
Tayyaba Zainab, J. Karstens, O. Landsiedel   +2 more
semanticscholar   +1 more source

BPMF: A Backprojection and Matched-Filtering Workflow for Automated Earthquake Detection and Location

Seismological Research Letters, 2023
We introduce BPMF (backprojection and matched filtering)—a complete and fully automated workflow designed for earthquake detection and location, and distributed in a Python package.
É. Beaucé, W. Frank, L. Seydoux, Piero Poli, Nathan Groebner, R. D. van der Hilst, M. Campillo   +6 more
semanticscholar   +1 more source

Implementation of Random Forest Classifier for Real-time Earthquake Detection System

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2023
An earthquake is one disaster that happened unpredictably and in some cases, it harms humanity. There are lots of research that studies earthquake vibrations using machine learning algorithms.
Rio Junior, Ary Murti, Dien Rahmawati
semanticscholar   +1 more source

Enhancing earthquake detection from distributed acoustic sensing data by coherency measure and moving-rank-reduction filtering

Geophysics, 2023
Distributed acoustic sensing (DAS) enables the recording of earthquake signals at an unprecedented low cost with strong environmental resistance using fiber optic cables.
Yang Chen, A. Savvaidis, Yunfeng Chen, O.M. Saad, Sergey Fomel   +4 more
semanticscholar   +1 more source

Real‐Time Earthquake Detection and Magnitude Estimation Using Vision Transformer

Journal of Geophysical Research: Solid Earth, 2022
We design a fully automated system for real‐time magnitude estimation based on a vision transformer (ViT) network. ViT is an attention mechanisms, which guides the proposed network to extract the significant features from the input seismic data, leading ...
O. Saad, Yunfeng Chen, A. Savvaidis, Sergey Fomel, Yangkang Zhang   +4 more
semanticscholar   +1 more source