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The inherent capabilities of the design in handling short data records and low-frequency signals allow its applications to a wide class of problems.
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The approach has application to a wide class of other non-linear systems, as demonstrated by simulation examples.
As such, it holds promise to be generally applicable to a wider class of application domains, specifically, Machine Learning.
In this paper, we consider gamma processes which cover a wide class of applications.
The systems used here are generic and can be considered as model systems for a wide class of application areas.
This paper describes a method open for a wide class of controller tuning applications and shows exemplary optimization results for a throttle valve position controller.
Our approach is generic for a wide class of multi-tier applications, and we demonstrate its effectiveness against other approaches by studying the behaviour of an example e-commerce application using a standard workload benchmark.
Poisson noise also appears in a wide class of real-world applications, e.g., positron emission tomography in medical imaging [9], fluorescence microscopy [10] and radiography images [11, 12].
LCP is a wide class of problems and has many applications in such fields as physics, optimum control, economics, etc.
The application of quasi-polynomial system representation for the analysis and control of a wide class of smooth nonlinear systems is proposed in this paper.
The classical theory of homogeneous and inhomogeneous linear difference equations with constant coefficients on the set of integers or nonnegative integers provides effective solution methods for a wide class of problems arising from different fields of applications.
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