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Recently Multiple Measurement Vectors (MMV) based models have also been proposed to recover a set of vectors that share a common support.
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An artificial neural network based model has also been developed, which would aid the engineers to effectively predict the ultimate bearing capacity and settlements of the model footing, resting on reinforced sand, before these reinforcing elements are actually applied in the field.
Similar component-based models have also been proposed in the literature [22, 23].
While indicator-based models have produced highly accurate early warning results y, system dynamics models or agent-based models have also been shown to be helpful for helping policy makers make security predictions.
Several previous RL-based models have also tried to incorporate the internal state into the computation of reward by proposing that reward increases as a linear function of deprivation level.
Primary care based models have several advantages.
The response surface methodology (RS M based quadratic models have also been developed to establish the relationships between the identified parameters and the proposed characteristics.
Thermal models have also been presented based on energy balances and the theoretical results have been validated through experimental data by many researchers.
Agent‐based models have also been developed for wireless sensor networks (Niazi and Hussain 2011a, 2011c) as well as for modeling self‐organizing and large‐scale communication networks (Niazi et al. 2009).
Other methods, such as neural network approach or methods based on regression modeling, have also been used in the past [14, 15, 16].
David Dreman, another guru upon whom I base one of my models, has also made a fortune by sticking to his guns.
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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