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This paper addresses the need for integration concepts, holistic monitoring, analysis methodologies, multi dimensional decision support and scenario based control strategies through the seamless integration of ubiquitous sensing infrastructures, service oriented architectures, BIM tools and Data Warehouse technologies.
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Unlike the existing targeting methods, the chaotic transfer orbits design problem is treated as a class of multi-constraints fuel-optimal problem with multi-dimensional decision variables.
Zellner and Laumann (2013), in contrast, integrate several BPS effects into a multi-dimensional decision model.
Control of chaotic systems to given targets is a subject of substantial and well-developed research issue in nonlinear science, which can be formulated as a class of multi-modal constrained numerical optimization problem with multi-dimensional decision variables.
Moreover, the learning strategy of the SVM can go beyond the two-dimensional plane by constructing a multi-dimensional decision-making surface to achieve optimal separation of two kinds of data with small empirical risks.
For this synthesis multimorbidity was defined as the 'co-existence of two or more conditions, where one is not necessarily more central' [ 1] In practice, a definition of multimorbidity as 'a set of unique constellations of problems, shifting priorities and multi-dimensional decision-making' is more likely to resonate with patients, GPs and trainees [ 60].
Primer V6 (PRIMER-E, Plymouth) was used to calculate Bray-Curtis similarities, to perform non-metric multi dimensional analysis (nMDS), and Analysis of Similarities (ANOSIM).
Nonmetric multi dimensional scaling (NMDS) analysis of the combined 20 samples showed the strong seasonal structuring of the community at L4 (Fig. 2).
Figure 1 shows an example of an inseparable two-dimensional space that becomes separable after the transformation of the input space from low dimensional to multi dimensional.
It also highlights the importance of inclusion of the role (school) functioning concept in measuring multi dimensional HRQOL.
where x is an n-dimensional decision variable column vector.
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