Different from the existing methods, the proposed method introduces some intermediate variables into the dynamic modelling in developing reduced order models of the heat exchangers (evaporator and condenser) based on the Number of Transfer Units (NTU) method.
Applying the DGIS method introduces some additional leakage to the underlying bit allocation scheme.
Algorithms such as EGMM discard both temporal and spatial information, retaining only image intensity statistics; whereas the sample-based ViBe method introduces some spatial information.
Nevertheless, this method introduces some chemical steps that could alter the electrical properties of the silicon nanowires, especially if their surface contains pores.
Compared with other supervised learning based methods (e.g. Qi et al.[ 15] and Shi et al.[ 16]), our method introduces some new features from the weighted network: the density, the mean and maximum degrees of the weighted network, which prove to be quite effective for the performance improvement.
Compared with the other supervised learning-based methods of Qi et al. and Shi et al., our method introduces some new features from the weighted network (in bold and itlic in Table 6): the density, the mean and maximum degrees of the weighted network.
Better performance of our method over other two supervised learning based methods, Qi et al. and Shi et al. may be due to the following three key reasons: (1) Firstly, as discussed in previous section, our method introduces some new features from the weighted network: the density, mean and maximum degrees of the weighted network, which prove to be quite effective for the performance improvement.
Unfortunately, standard examinations and collection of blood samples for metabolomics were separated by about one to two years (see methods), introducing some uncertainty with respect to parameters that were measured at baseline only (e.g. body mass index, HbA1c, waist-hip-ratio, questionnaires) and not at the time blood was sampled for metabolomics.
Typically when a new method is introduced, some simulations are carried out to show the improved accuracy of the new method.
The method was introduced some time ago and since then has undergone further development as well as extensive testing in reactive flow simulations of practical systems.
