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Moreover, the proposed monitoring model is applied to a real condition process of HGU.
The adequacy of the human monitoring model is partially confrrmed experimentally.
The obtained monitoring model is able to divert false alarms and to anticipate the system operation in order to consider corrective actions, before undesired modes occur.
The Thai programme's monitoring model is not without challenges, however, particularly in relation to workload, travel logistics and ensuring monitoring activities are adequately budgeted for.
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Higher group spread in the monitoring model was also reflected in the dyadic spatial distances among group members (Fig. 5b).
The central-peripheral structure in the monitoring model was slightly more pronounced compared to the avoidance model: individual differences in the distance to the centroid of the group were higher in the monitoring model (Fig. 3b).
Furthermore, groups in the monitoring model were significantly more spread out compared to groups in the avoidance model (Wilcoxon rank sum test: W = 21, P < 0.001; mean average furthest neighbor distance ± standard deviation = 75.0 ± 2.6 m and 67.4 ± 1.9 m, respectively; Fig. 4).
The defining feature and what sets the Thai programme monitoring model apart from standard monitoring models is the way that the clinical trial support group is embedded within an established research unit.
In order to conduct the on-line batch monitoring, a simple modification of the unfolded structure that trains MHMT to set up the batch-monitoring model is derived.
Although conventional process monitoring models are effective in many manufacturing processes, these models falter when confronted by a set of training data with poor quality or a small volume of training data.
Fieldwork occurred in the places where the monitoring models are coordinated and applied in Thailand, Cambodia, Uganda and Kenya.
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