Introduction to OpenEEW, an open-source Earthquake Early-Warning toolkit
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Updated
May 10, 2024
Introduction to OpenEEW, an open-source Earthquake Early-Warning toolkit
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
ECDC Early warning tool using social media data.
The spider crawls moneycontrol.com and economictimes.com to fetch news of input companies and also scores and classifies the companies to raise an early warning signal
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
Open Source Content Management System for National Meteorological and Hydrological Services
Source code for NodeMCU seismometers for SeismoCloud project
CAP Alerts composer, communication and dissemination tool
A configurable code modifier for typescript and friends. Can transform entire codebases to enforce better coding practices, eliminate tech debt in one fell swoop, and catch bad code before it is committed.
CAP (Common Alerting Protocol) XML alert format parsing, HTML parsing, inserting new alerts into database, OneSignal (possible Android and iOS push notifications), Twitter, Facebook, MailChimp (e-mail notifications) for project of open source solution for natural disasters early-warning.
Early Warning System(EWS) for natural disasters
Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis
An early warning platform POC built during International Space Apps Challenge 2016
Codes for Beutel, List and von Schweinitz (JFS, 2019)
A systems-thinking essay that explains why failure rarely happens suddenly. It shows how slow drift, accumulating pressure, and weakening buffers push systems toward collapse long before outcomes change, and why prediction-focused analytics miss the most important phase of failure.
Design e Sviluppo del sistema di End User Development in SeismoCloud - Laurea Triennale in Informatica Università Sapienza di Roma
An early-warning system that models disasters as instability transitions rather than isolated events. It combines force-based instability modeling with an interpretable ML escalation-risk layer to detect when hazards become disasters due to exposure growth, response delays, and buffer collapse.
Methods for Advance Detection of COVID-19.
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