Sentence examples for based on minimum number from inspiring English sources

Exact(2)

For example, in birds or mammals, survival rates and population densities are often calculated based on minimum number alive [MNA].

The result of application indicates that the suggested method can derive accurate structural changes just based on minimum number of measured frequency response functions.

Similar(58)

Model selection was based on minimum values of Akaike's information criterion (26) to obtain best fit with the minimum number of parameters in the model.

This allows predicting accurate retention volumes based on a minimum number of initial experiments.

Liquid atoms are distinguished from vapor atoms based on the minimum number of neighboring atoms within a certain radius [11].

Each single body in the system is then controlled with a suitable adaptive control law based on a minimum number of parameters.

It exploits the advantages of order statistics to provide distribution free tolerance intervals for the RAMS+C estimation, which is based on the minimum number of runs necessary to guarantee a probability content or coverage with a confidence level.

In the 5CVN-adroit algorithm, as the gateway and the ANB are chosen based on the minimum number of packets in the buffer, it will decrease the processing delay.

"The safeguards we aim to establish via the court are on the security of data handling, a threshold for providing a customer's details based on a minimum number of separate incidents, the tone of contact with broadband subscribers and a reasonable approach to financial compensation sought," said a BT spokesperson.

Monocular navigation relies on finding an initial pose, i.e., a coarse estimate of the attitude and position of the space resident object with respect to the camera, based on a minimum number of features from a three dimensional computer model and a single two dimensional image.

A sample size of 400 tuberculosis patients per district was selected, based on the minimum number of patients needed to detect a prevalence of at least 5% HIV infection, with 95% confidence and 40% precision.

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