Sentence examples for terms for detection from inspiring English sources

The odds ratio (OR) estimate of the risk of N+ was obtained from a multiple logistic regression model that included terms for detection modality, tumour size category, patient age, histological type, and number of lymph nodes recovered.

A multiple logistic regression model (model #1) was then built that included terms for detection modality, tumour size category, patient age (as a continuous variable), histological type (ductal, lobular, tubular, other), number of lymph nodes recovered (continuous), and registry.

There are, however, situations in which this interference term (for detections at the screen) is not observed, i.e. in which the classical probability formula applies.

Each cluster is processed independently and divided into subclusters based on compatibility of the PSI-MI terms for interaction detection method.

Additionally, taking glucose oxidase (GOD) as the model, the resulting glucose amperometric biosensor not only presents good analytical performance such as a wide linear range (10 μmM12.55 mM), a high sensitivity (6.36 μA mM−1), but also possesses low detection limit of 1 μΜ and long-term stability for detection.

Although it is efficient in term time for detection due to not having any dependance on other nodes, there is another well-known parameter for fake data detection that means delay and is experienced in the network due to VANET characteristics.

In this case, for real system design, we evaluate the performance in terms of detection probability for ideal energy detection method, transmitter-independent energy detection method, and transmitter/receiver-cooperated energy detection method.

We tested application performance in terms of detection accuracy for different values of these parameters.

The results presented in Figures10 and11 highlight the performance of SP-CAF detector in terms of detection probability for real signals.

We first compare the proposed and benchmark TBD algorithms in terms of detection performance for the target parameters in Table 1.

Further improvement of the accuracy of PGD for DM1, in terms of detection of contamination of the sample and allelic drop out, was achieved by the use of multiplex PCR with combined DM1-linked markers and detection of the repeat fragments [ 116].