A real-time Earthquake Early Warning(EEW) plugin for Minecraft Server.
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Updated
Jun 8, 2024 - Java
A real-time Earthquake Early Warning(EEW) plugin for Minecraft Server.
Construction of Long-Term Seismic Catalog with Deep Learning: A Workflow for Localized Self-Attention RNN (LoSAR)
A Docker tool for learning, testing, running and developing Earthworm within enclosed environments.
Cluster Analysis of Trimmed Spectrograms: framework for detection and denoising of sparse signals in time-frequency domain.
Experimental application for monitoring earthquakes world-wide in near real time. Capable of issuing its own earthquake early warnings (EEW).
A computationally efficient earthquake detection module for SeisComP
Matched filter earthquake detector
An earthquake detection and location architecture
SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
Earthquake detection and analysis in Python.
Server-side releases for GlobalQuake
基于 Python / Qt6 的轻量级中国四川地震预警软件
Automatic earthquake catalog building workflow: EQTransformer + Siamese EQTransformer + PickNet + REAL + HypoInverse
Simplified machine-learning driven earthquake detection, location, and analysis.
Earthquake event automatic recognizer using STA/LTA algorithm based on ObsPy lib.
Multi-band array detection and location of seismic sources
SeisComP is a seismological software for data acquisition, processing, distribution and interactive 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.
Deeplearning model to predict earthquake occurence based on realtime data
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