Deeplearning model to predict earthquake occurence based on realtime data
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Updated
Mar 9, 2023 - Jupyter Notebook
Deeplearning model to predict earthquake occurence based on realtime data
Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome
Earthquake event automatic recognizer using STA/LTA algorithm based on ObsPy lib.
A Docker tool for learning, testing, running and developing Earthworm within enclosed environments.
Was that an Earthquake?
基于 Python / Qt6 的轻量级中国四川地震预警软件
SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
Kaggle challenge LANL Earthquake Prediction
Cluster Analysis of Trimmed Spectrograms: framework for detection and denoising of sparse signals in time-frequency domain.
A real-time Earthquake Early Warning(EEW) plugin for Minecraft Server.
Only to know whether device is on or off and state over telegram API via google app script spreadsheet
Quake Safe Rings (QuaSaR) contains various tools to support Earthquake Early Warning (EEW) projects
An earthquake is what happens when two blocks of the earth suddenly slip past one another. By this Python Code You will know last 24 hours earthquake every details.
This methods can be used for event identification to detect first arrival time of Vp and Vs. These methods are Akaike Information Criterion, MER and S/L kurt
Server-side releases for GlobalQuake
Andoid application for disaster management.
Automatic earthquake catalog building workflow: EQTransformer + Siamese EQTransformer + PickNet + REAL + HypoInverse
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.'
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.
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