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src=\"https://raw.githubusercontent.com/DevLeoko/Decision-Critical-Bayesian-Networks/master/frontend/src/assets/LogoDark.svg?sanitize=true\" width=\"40%\"/\u003e\n\n# Decision Critical Bayesian Networks\n\n\u003e Application for the identification of decision-critical situations through dynamic bayesian networks.\n\nThis project is in its core a Progressive Web App used for modeling dynamic bayesian networks.\nWith the backend serving inference calculations through ActiveMQ for those modeled networks.\\\nCurrently, DCBN is designed with the observation of maritime space in mind and is used to rapidly and in realtime evaluate situations involving vessels.\nThe main features are:\n\n- **User System** with two privilege groups\n- **Network editor** to model dynamic bayesian networks\n- **Network playground** to experiment with the networks\n- **Evidence editor** to define expressions converting metadata to evidence used by the networks\n- Backend integration with ActiveMQ to **calculate inference** for given metadata\n\n## Repo Structure\n\n### Docs\n\nThe documentation folder contains:\n\n- The project specifications\n- Any other non-code-related files\n\n### Frontend\n\nThe frontend is a PWA build with **Vue**, TypeScript, Vuetify, and visNetwork.\\\n_Using npm for dependency management._\n\n### Backend\n\nThe backend is for most parts a REST-Service build using **Spring Boot** and [AMiDST](http://www.amidsttoolbox.com/) for inference.\\\n_Using maven for dependency management._\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevleoko%2Fdecision-critical-bayesian-networks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevleoko%2Fdecision-critical-bayesian-networks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevleoko%2Fdecision-critical-bayesian-networks/lists"}