Experimental application for monitoring earthquakes world-wide in near real time. Capable of issuing its own earthquake early warnings (EEW).
Earthquake detection and analysis in Python.
SeisComP is a seismological software for data acquisition, processing, distribution and interactive analysis.
An Earthquake Detection and Location Architecture for Continuous Seismograms: Phase Picking, Association, Location, and Matched Filter
Simplified machine-learning driven earthquake detection, location, and analysis.
This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accurate to accomplish this task.
Multi-band array detection and location of seismic sources
基于 Python / Qt6 的轻量级中国四川地震预警软件
A curated list of earthquake seismology software
Matched filter earthquake detector
Localize AI Phase Picker with Rule-based Algorithm for Generalized Earthquake Detection
Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'
CNN Event Detection & RNN Phase Picking (in Tensorflow)
[TGRS] SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
Automatic earthquake catalog building workflow: EQTransformer + Siamese EQTransformer + PickNet + REAL + HypoInverse
A computationally efficient earthquake detection module for SeisComP
一个基于wolfx公开API推送服务的即时地震预警 Android APP
Distributed Earthquake Early Warning (EEW) system built on low-cost ESP32-C3 IoT sensors with Zero-Trust security, multi-node epicenter triangulation, and on-premise AI emergency reports. Includes custom PCB, FastAPI/Redis/TimescaleDB backend, and a React Native mobile app.
Server-side releases for GlobalQuake
Detecting Earthquake P-Waves using popular STA/LTA Algorithm with visualization and estimations of Seismometer Trajectory in 3D, S-Wave arrival time and much more.
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