3626S62540 - Determining the improvement potential of the RODOS module 'Dose Reconstruction' using AI methods for spatio-temporal interpolation of radiological environmental measurement data

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A research project is being procured to develop a method for optimising dose estimates in radiological emergencies using artificial intelligence. The aim is to improve the accuracy of dose reconstruction at the Federal Radiological Situation Centre, especially while a radioactive cloud passes through. First, an AI-supported interpolation method is to be developed that recognises and evaluates spatio-temporal patterns in radiological ambient dose rate measurement data. Second, this method will be extended into a multimodal model that incorporates additional environmental parameters and models physical processes. The method is to be developed and tested using simulated training data.

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Description

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This buyer has no award history in this sector yet. Usual winners, Research & development - Germany

Based on 294 awards with a linked company profile over the last 2 years.

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Market context

Avg. open tender · Research & development

€3,285,325

524 open across Europe right now

Buyer track record on Aperlena

17 notices tracked · 0 awarded