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The top figure denotes the construction procedure of probability models based on TRIODs, and the bottom part gives the procedure of nuclear detection.
The proposed framework for nuclear detection is shown in Fig. 2, where the top figure manifests the construction procedure of probability models for the nuclear TRIOD prototypes and the bottom part gives the computation step of a nuclear-enhanced probability map, and the DRLS-based refinement is employed for obtaining final detection results.
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The procedure of computing probabilities is strictly based on general statistics which means that neither method is constrained for chl-a but can also be used for other variables.
To determine the statistical significance of the model, analysis of variance (ANOVA) was performed using the general linear model procedure of Statistical Analysis Software SASS), and probability value (P) < 0.05 was considered to be significant.
In the proposed procedure, the probability of exceedance of structural response parameters conditioned to a given ground motion intensity is computed from a series of deterministic response history analyses at three loading intensity levels.
The paper presents a procedure for the estimation of probability density functions.
Information on implant survivorship was sought from large national or multicenter registries with implant survival data of sufficient duration to estimate annual age, gender, and procedure specific probability of implant survival and implant failure.
The final set of significant factors associated with awareness was identified through the use of a forward stepwise selection procedure with entry probability of 0.05 and removal probability of 0.10.
The procedure of this flowchart requires a probability distribution of instant utility and a probability distribution of difference in instant utility between two points.
This process is equivalent to an analytical procedure of multiplying the input probabilities with the powers of the state transition matrix.
Patients and physicians consider various factors such as invasiveness of the testing procedure, probability and severity of associated side effects of the treatment, and the overall costs before deciding about the usefulness of a genomic test [ 6, 7].
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