There are 1 repository under early-warning-systems topic.
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
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
Source code for NodeMCU seismometers for SeismoCloud project
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.
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.
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
Design e Sviluppo del sistema di End User Development in SeismoCloud - Laurea Triennale in Informatica Università Sapienza di Roma
Codes for Beutel, List and von Schweinitz (JFS, 2019)
Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data
Rain gauge selection tool for rainfall threshold analysis
This is a repository that integrates XBeach with FEWS. It is still under active development
Methods for Advance Detection of COVID-19.
Locust Early Warning System(loews) project implementation(Locally)
Japan Meteorological Agency Earthquake API Client
Quake Safe Rings (QuaSaR) contains various tools to support Earthquake Early Warning (EEW) projects
A machine learning classification approach for risk detection in battery cell manufacturing
Data and Code for replicating the World Development paper "A Data-Driven Approach Improves Food Insecurity Crisis Prediction"
VSPsnap is a collection of R and Python code for Gaussian Process regression in a kriging-like setting (i.e. two features (X,Y) and a target (Z)) - with a focus on SARS-CoV2 data (genomic/IR/FR).
Node programs
These are files associated with the prediction of aflatoxin risk levels in maize using various ensemble and non-ensemble machine learning methods in east and southern Africa countries
Python code implementation for the paper 'The Epidemic Forest: Unveiling the Spatial Dynamics of Acute Respiratory Infections Spread in Jakarta, Indonesia.'
A mutation-based alert system to prioritize concerning Influenza variants from sequencing data.
Objective: This project is a Flood Prediction Model that leverages machine learning techniques to predict the likelihood of flood events in specific regions based on historical weather data. The model can be used by municipalities, researchers, or environmental agencies to assess flood risks and implement preventive measures.
This repository contains my work at Kathmandu Geo Lab, focusing on custom PCB designs for earthquake early warning systems. It includes KiCad design files, schematics, and layouts optimized for real-time data acquisition from geophones and accelerometers, enabling efficient seismic monitoring.
This repository contains models trained for various purposes during my summer internship at Optical Networks and Technologies Lab.
🌊 Sistema de alerta temprana de tsunamis de origen lejano que combina Fortran + Python. Backend para https://github.com/totallynotdavid/picv-2025-web