[IEEE GRSS DFC 2025 Track II] BRIGHT: A globally distributed multimodal VHR dataset for all-weather disaster response
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Updated
Jan 27, 2025 - Python
[IEEE GRSS DFC 2025 Track II] BRIGHT: A globally distributed multimodal VHR dataset for all-weather disaster response
Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
A real-time disaster response coordination platform that helps connect resources with those in need during emergencies. This open-source project aims to provide a robust solution for disaster management teams worldwide.
The Project is a prototype for Emergency evacuation and simulations in Indian context. Major focus of this project is nuclear plant, chemical gas leak sort of hazards. This projects dynamically generates the evacuation routes during emergency situations.
Official repository for the AuroraAxiom project.
ETL pipeline combined with a ML model for supervised learning and grid search to classify text messages sent during disaster events
This is an advanced underwriting risk management app that is able to predict incoming storms and be able to quantify its magnitude and using AI and analytics engine determine the potential damage for policies that are in the line of the storm - Saving Insurance Companies Millions and saving Policies from unnecessary damage - WATCH THIS SPACE!
Awarded "The Most Ground Breaking Solution" @ UNESCO Water Resilience Challenge 2024
SAHANA Alerting and Messaging Broker
By developing this Disaster Response Classifier, the project aims to improve the efficiency and effectiveness of disaster response efforts by enabling quick and accurate identification of relevant messages, thereby facilitating targeted assistance and support to those in need during times of crisis.
AlertNet is a cloud-based disaster monitoring system using AWS to track natural disasters in real-time. It simulates IoT data on EC2, monitors with CloudWatch, triggers alerts via Lambda, stores data in S3, and sends notifications with SES. Users can report nearby disasters, enhancing community-driven preparedness.
Heart of the best disaster prevention tool, Submission for codefundo++
Research is fun!
Web application platform for disaster management
This repository is about optimal distrubution with using dijkstra algorithm Bu repository türkiyede yaşananan deprem felaketine benzer olaylarda vinç ve yardım malzemelerinin en iyi şekilde en iyi sonuca ulaşmasını sağlamak için dijkstra en kısa yol algoritması kullanarak tasarlanmış simülasyon ve arama algoritması içerir
Disaster information extraction using named entity recognition, we have incorporated a machine learning model which predicts entites in a given iput.
An AI natural disaster assistant in solving personnel, finance, supplies, and transportation needs.
A comprehensive Emergency Response System designed for rapid deployment in CBRN and disaster scenarios, equipped with AI-driven situational analysis and offline support.
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