… This subsection reports about different methods and applications concerning modeling …
• The activity viewed as a dynamical variable: The numerical solution of problems where the …

… the data-driven surrogate model in this work for the multi-variable and multi-objective
optimisation of the eCO 2 RR system. The E-AHF model improves prediction accuracy by utilising …

… Multi-dimensional population balance models coupled with … the greater heterogeneity
observed in cell behaviour at this scale, … of numerical solutions, especially for complex biological …

… In addition to this regulation mechanism, we include the dilution rate as a control input,
which yields a multi-variable optimization problem. We concluded by showing very contrasting …

… protein – as well as cell size – predicts division time statistics equally well using our
model. These results suggest that cell division is a multi-variable emergent process, which is …

… dynamics rather than qualitative network interaction models. Here, we present a method
that promises to iteratively turn a qualitative model of biochemical interactions into a network of …

… procedure under a case study (university building) of load shifting solar PV energy. They
explored different methods … multi-variable evaluation and optimization for different Carnot battery…

… [10] used the finite difference method under transient conditions to … of model prediction, some
experts and scholars use finite … can be simplified to a multi-variable, multi-constrained and …

… performance, and the trends of model outputs were closer to the actual data. Table 8 shows
the results of different methods on bed temperature and oxygen content. The proposed bed …

… rates numerically in urban and non-urban areas on the population growth … multi-variable
matrix model is called the generalized Leslie matrix model [20] or age stage-classified model …