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The solution includes a pebble-like device that gets installed in the home network, a mobile app that allows the user to control the device and monitor the network status and a cloud service where the data is consolidated and analyzed using proprietary statistical tech and mathematical models coupled with machine learning algorithms.
Different mathematical models coupled with the basic theory of this type of equation can be found in the classical monograph by Goldberg [1] and in the book by Lakshmikantham and Trigiante [2].
We conclude by emphasizing a pressing need to incorporate mathematical models coupled with changes to existing management systems in ongoing efforts to design and implement rational monitoring plans for evaluating filariasis and other parasitic disease control programmes.
To simulate a complex or complicated task such as a traffic analysis or tactical measure of effectiveness (MOE) analysis at the engagement level, it is appropriate to use a discrete-event system simulation that causes transition between model states through the triggering of events on the basis of the passing of messages between simplified mathematical models coupled in various ways.
Quantitative mathematical models, coupled with experimental work, now play a central role to analyze, simulate and predict the behavior of biological systems.
The sheer size of the data sets suggests that appropriate use of mathematical models coupled with statistical methods for data analysis and inference will play an irreplaceable role in contemporary biology.
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Then, the thermal mathematical model coupled with the self-adapting multi-complex-shape algorithm permits a set of best structural and operation parameters of the moisture separator reheater to be determined.
To interpret such data, mathematical modelling coupled to state-of-the-art statistical inference thus becomes a necessity (May 2004; Buchholz et al., 2013; Gerlach et al., 2013) to make sense of data and design better, more discriminatory experiments.
Thus, understanding cellular dynamics has become a prime concern in systems biology, in which mathematical modelling coupled with quantitative analysis have been used to gain insights on the mechanisms that give rise to and control the dynamic behaviour[ 1- 5].
To understand the transport mechanism through the membrane and make suggestions for its optimization, a mathematical model coupling convection, diffusion and adsorption is developed and validated by comparison of experimental and theoretical results.
Generalized mathematical models for coupled heterogeneous catalytic reactions consisting of elementary steps are presented.
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