6(3) (June 1996), Proceedings of ECSAP-97, Prague, Czech Republic, June 1997) to reduce the complexity of those algorithms, was used in combination with linear prediction to implement a new zoom technique for narrow-band signal applications.
The paper develops a procedure to identify global optimum values of the PSR parameters for the construction of a regression-type prediction model to implement the Chaos-MGGP model.
Our model gives a good approximation to real data and may be useful for some predictions and help to implement some effective public health measures.
For the proposed FOSB-based tracking scheme, despite the location accuracy, adopting the distributive approach using the prediction-correction recursion to implement the location estimator significantly reduces the computational complexity, as shown in Table 4.
However, the direct point prediction is simple to implement, while calculating water retention values from the VG model requires first the application of MRC PTF and then calculating water retention with derived VG parameters for given matric potentials.
Other challenges that lie ahead include the need to discover more rules for coiled-coil prediction and design, and to implement these in prediction and design algorithms.
We are motivated to develop a mean-field approach on two counts: first, if we can demonstrate close qualitative and quantitative behaviour between the mean-field and stochastic models, then it may be far simpler to implement predictions based on analytic calculations rather than running full simulations.
White-box and black-box techniques have been described in literature to implement prediction models.
This platform could also be used to calibrate wave propagation prediction tools, or also to implement natively MIMO standards like WiMax or LTE.
Without thorough evaluation of diagnostic performance, it is unsafe to implement prediction models in clinical practice for decision support.
