Research development methods early detection radioactive air contamination monitoring Tender
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R&D contract to develop advanced statistical and machine-learning methods for early detection of radioactive air contamination in Czech radiation monitoring networks, including hardware upgrades to scintillation and gamma-spectrometry sensors. Bidders should have expertise in AI/ML, atmospheric modelling (HYSPLIT), radiation detection physics, and sensor integration.
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About this tender
Research and experimental development services for the Czech Ministry of Interior focused on developing advanced statistical methods and machine learning/AI techniques to enhance the sensitivity of the radiation monitoring network (MRS) and accelerate its response to radioactive air contamination. The project applies predictive modeling based on machine learning and artificial intelligence to data from online sensors and standard laboratory measurements. …
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