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Polynomials have also been applied to model the CHAllenging Minisatellite Payload (CHAMP) satellite data of southern Africa (Nahayo and Kotzé 2012).
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The above podcast explores fairtrade as a business model, the challenges it faces and where it is headed next.
With this model, the challenge isn't in coming up with new policies, it's in implementing them.
While heterogenous target scenes may be addressed by an improved echo data modeling, the challenge of extended targets may be handled by choosing a different sparsity transform.
In agent-based modeling the challenge is getting the rules that guide agent behavior correct.
When working with prediction models, the challenge of circularity arises when the predictive factor is a part of diagnostic or classification criteria.
For ordinary differential equation (ODE) models, the challenge in this estimation has been attributed to not only the lack of parameter identifiability, but also computational issues such as finding globally optimal parameter estimates over highly multidimensional search space.
(2) Archiving and Retrieval it models the challenge faced by hospitals, diagnostic labs, and physicians in maintaining a collection of slides in a form that is easily accessible, always available, and universally sharable.
The model challenges the current paradigm of star formation and may shed light on one of the biggest mysteries of the early cosmos.
This makes the model identification challenging.
However, the identification of an appropriate model remains challenging in the field of hydrology.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com