CAP Alerts composer, communication and dissemination tool
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Updated
Apr 2, 2026 - Python
CAP Alerts composer, communication and dissemination tool
Open-source disaster risk intelligence platform for US municipalities — powered by FEMA, USGS & NOAA public data
System detects the firearm or any other lethal weapon carried by any person and alerts the security team to act before any bad incident occurs
Simulated hospital deterioration dataset: 10,000 admissions, hourly vitals+labs over a 72h cohort, with ML-ready tables incl. “next 12h” early-warning target.
Vedura is a government-oriented public health awareness and early signal intelligence platform designed to support authorities with population-level insights while providing verified, multilingual health guidance to citizens.
Automated time series-based anomaly detection framework for crisis monitoring. Detects unusual behaviors, spikes, and trends for early warning systems in finance, industry, and cyber-security.
🦟 Dengue fever early-warning system — predictive analytics and geospatial risk mapping for Indonesian communities
基于 Open-Meteo 气象 + Sentinel-2 遥感指数的轻量智慧农业告警管线。可强自定义 ROI/时间范围/生长季门禁与病虫害(规则)阈值,一键生成告警、事件合并与可解释报告。
Which ICU variables warn of sepsis earliest? A temporal analysis of 40,336 patients that reveals what the model ignores and why.
A geometric SVM-based early warning system for catastrophic forgetting in continual learning
Deep Learning for ICU Clinical Time-Series Anomaly Detection & Early Warning — sepsis prediction, mortality, and alarm fatigue reduction on MIMIC-III
Research framework for autonomous early warning algorithms with self-tuning thresholds and agent-driven anomaly detection
Atomic benchmark suite showing drift can act as an early warning before direct symmetry detection in gradual-breaking regimes, with reversal controls, finite-budget sensitivity tests, and exact alarm-time validation.
AI Financial Early Warning System — Predicts cash crises 90 days before they hit. Free, private, open source.
AI-powered autonomous early warning system for infectious disease surveillance in Bangladesh with agent-driven alerting
Provide local disaster risk intelligence by combining federal hazard data into accessible risk scores via API and interactive maps.
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