Whitepaper on machine and radiation safety of inline-insitu X-ray + HSI units

The project NanoQI (see concept Figure 1) targets the development of an industry-suited, real-time and in-line capable technique to characterise nano-structure and nano-dimensions of (thin-film) nano-materials by optimisation of area-detector…

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Market Entry Barriers for new companies and products in bio-based economy due to regulation and standardisation

This report describes the market entry barriers due to regulation and standardisation that companies that are active in the bio-based economy experience. The analysis is based on extensive interviews with…

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Identification of technological trends in selected value chain in bio based industries

In this report, the results of the ex-ante analysis executed under the STAR4BBI project with the objective of identifying possible future technological developments, industry trends and innovations in selected value…

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I4Driving Project Glossary – Review and Definition of Terms related to autonomous driving, driving behavior and related data analysis methods

The present document is the deliverable D.8.1 - “Project Glossary” of the i4Driving project, funded by the European Commission’s Climate, Infrastructure and Environment Executive Agency (CΙΝΕΑ), under its Horizon Europe…

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Methods to extract statistically significant relationships between human/external factors and driver behavioural mechanisms, in uncritical and critical situations

The major scientific challenge of the i4Driving Project is developing a human driver model that captures the relevant behavioural mechanisms for safety assessment. The project has a specific goal to…

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Methods to Harmonise Data on Human Driving Performance from Different Datasets (I4Driving project deliverable)

The availability of high-quality datasets is essential for the i4Driving project. These datasets are the basis for the human driver model identification process. To enable identifying suitable models over a…

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