Parallelization of the Kalman filter algorithm, with emphasis on the specific demands of multicore architecture implementation, is investigated.
With the help of a new communication model the parallel efficiency of our implementation is investigated and analyzed in a detailed and structured performance analysis.
The inter- and intra-connectedness between these four components (awareness, motivation, pathway and reward), and a list of success factors of and barriers to implementation are investigated.
The effect of model parameter variation on control performance is discussed, and its impact on the controller implementation is investigated with a view to determining the most suitable parameters for online adaptation.
The influence of MDT and patient-related factors on treatment plan implementation was investigated using random effects logistic regression models, allowing for clustering by MDT.
The problem of predicting the average effect of a new training program using experiences with previous implementations was investigated.
Namely, two key water policy interventions were investigated: the implementation of minimum environmental flows (supported by the European Water Framework Directive, EU WFD), and a reduction in the legal amount of water delivered for irrigation (planned measure included in the new Guadiana River Basin Management Plan, GRBMP, still under discussion).
Aiming to get a more accurate model for KF during SVM training in our proposed system implementation, different sets of candidates were investigated to select the best performance.
Additionally, papers reporting (partial) implementation of the simulated recommendations were investigated further, with all cross references included according to the criteria listed in Table 4. Using literature, a scoring list with multiple-choice answers was developed to analyze all papers.
Additionally, the factors influencing the implementation of ADDR by community pharmacists were investigated by logistic regression analysis.
