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of E2E models. By embedding knowledge of traffic rules, environmental factors, and human driver behaviors into generated scenarios, the approach will provide a scalable and explainable method to test the
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embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning. The project is part of Estonian Research Council project PSG897 “Cogni-E-spin
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minimally capable of running on the edge, ideally of running on power-efficient embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning
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, the candidate will configure models in openLCA that corre- spond to individual building components, linking each component to unit processes under ISO 14040 and ISO 14044 guidelines, and embedding sensitivity