The performance metric, Equations 17 and 18, was used to evaluate various stages of the analysis.
The main characteristic of the methodology, is that it takes stakeholders explicitly into account in all stages of the analysis.
However, carcass profile information was considered non-relevant by the ML algorithm in earlier stages of the analysis.
In fact, if the goal is simply a rough characterisation of the blood pressure signal, then the initial stages of the analysis proved sufficient.
Nevertheless, in the majority of cases, stakeholders' participation does not take place in all stages of the analysis, nor it is a main and integral part of it [12].
The initial integrity of the input data is guaranteed to be preserved during workflow execution, thus ensuring the accessibility to this information in later stages of the analysis and allowing for the recombination process.
A more general finding was that the use of different criteria in the different stages of the analysis allowed to better differentiate the suitability of the potential landfill sites.
The inclusion of respiratory information is proposed at different stages of the analysis, namely, the design of the filter applied to the instantaneous ACF, the parametric decomposition, and the definition of a dynamic HF band.
The most important stages of the analysis involve microscopy, an overview of which is given, and detailed information on optical stereo, optical compound and scanning electron microscopy is presented.
Nevertheless, stakeholders should be given the freedom to express their views on the criteria forming their value tree, because this notion is located in the heart of MAMCA: the substantial participation of stakeholders in all stages of the analysis, and this is done by providing them with the option to suggest additional criteria at the end of the questionnaire.
The technical details for each of the four stages of the analysis are in Appendix S1.4).
