Using a new methodology, we propose 40%% as the most reliable threshold point to use the proposed nomogram recommending or not a healthy man an IBx in front of an opportunistic screening.
The methodology we propose in this investigation can be applied to multi-dimensional cases.
Based on the proposed MPSoC methodology, we propose a real-time, embedded vision solution for multihypothesis approach for road recognition implemented on parallel multistage architecture.
The methodology we propose uses rigorous dynamic Simulink models based on first principles in a black-box approach.
To bridge the gap between the empirical result and the regression-based decomposition methodology, we propose using a SEM approach (see below) that unifies these contrasting themes.
Adopting a DBR methodology, we propose a generic framework (Fig. 2) for examining the potential roles of technological, peer, and teacher scaffolding in CSCL.
We illustrate the power of the methodology we propose with the optimal redesign of a network of monitoring stations for spatiotemporal ground-level ozone in the eastern USA.
The methodology we propose automatically extracts patterns related to a specific input event, i.e., a seed, from the enormous amount of events the network carries.
The methodology we propose for the deployment of a charging stations network is here presented in all its components, reflecting the approach described.
The models and methodology we propose not only help in understanding the changing in customers' temporal shopping behaviors and their cyclic succession, but also unveil the regularities of these changing if detected.
