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Predictions from the developed correlation based models were compared with the condenser's (ACC and WCC) performance of three different screw chiller manufacturers and they match within ±8% and ±11% for ACC and WCC at 70 – 100% load.
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The background characteristics of the respondents who received VCT through either the facility or home based models are compared in Table 1 below.
In this work, rough set based models are compared with other data-driven methods with respect to two factors related to clinical credibility: accuracy and accessibility.
Two different knee-joint kinetic models (pin-joint approximation and anatomically based model) are compared against a condition with no exoskeleton.
Performance of the developed ADM based model is compared with the reactor scale models in which the reactor back-mixing is represented using some combination of the two limiting ideal reactor models of, complete stirred or plug flow.
The results of these two models (i.e., robust model and mean-value based model) are compared with each other at the following.
In this work, prediction errors on test sets obtained by using an ODE based model are compared to the residuals from an unsupervised data analysis method which does not make any use of biochemical knowledge.
Load drops produced by EPDE and UCP-based models were compared with the experiments.
Finally, the results of ANNs-based models, FIS- and ANFIS-based models were compared.
The predictions of the proposed GEP-based models were compared with the results obtained using the existing analytical equations proposed in the current literature.
Finally, the same data was used to create a statistically derived prognostic model to which both expert-based models were compared.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com