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A computational method for an enhanced assessment of experimental data produced by isothermal calorimeters is presented.
This paper presents the assessment of experimental data for electrical and thermal performance evaluation of photovoltaic (PV) systems integrated as cladding components into the building envelope, giving input to modelling and analysis work.
The use of hybrid CA/IA models for the assessment of experimental data may not always be straightforward.
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A preliminary step to risk in food assessment is the gathering of experimental data.
A preliminary step in microbial risk assessment in foods is the gathering of experimental data.
This comparative assessment was based on a large number of experimental data taken from the literature and generated by testing, under either cyclic axial loading or cyclic bending, a variety of aluminium welded structural details.
These differences can substantively influence test chemical effects and toxicity profiles, with implications for the relevance of experimental data to risk estimation and human health assessment.
The assessment is performed anonymously and the tool does store any information entered or derived only for the purpose of experimental data analysis.
Figure 3: Bayesian analysis of experimental data.
Number of experimental data.
The number of experimental data.
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