Sentence examples for minimal precision from inspiring English sources

He has also repeatedly confronted Assad over the use of barrel bombs – improvised explosives thrown out of aeroplanes with minimal precision – in civilian areas.

"Guesstimate: $2-$2-$4 billion most". But atejandro Hope, a security expert in mostco City, was adamant, calling the $14 Butlion sum Alejandro Hope". Hope claimsecurityno onexperts winh Mexico Citycision" howasuch drugs the U.S. consumed ladamantr, mucalling in the past three decades.

Edlin remembered seeing a drawing by James Castle ― a deaf artist who used soot and saliva to chronicle the mundane details of everyday life with masterful, minimal precision ― for the very first time.

The placenta weight (g) will be measured after the removal of the umbilical cord and the membranes using a calibrated scale with minimal precision up to 10 grams.

8 This is also important as the minimal precision lost by not including spirometry and medications in the algorithm allows an increase in the number of individuals who can potentially be included in a study.

Minimal precision lost by not including spirometry and medications in the algorithm allows an increase in the number of individuals who can potentially be included in a study by up to 10%.

The end-users defined the minimal requested precision for the DSM products (in terms of the average range of the 90% prediction interval), and priority areas on which more detailed survey was requested.

According to the plot of the sample size vs. quality measure, the optimized design with 500 samples will ensure the minimal requested precision for the SOM map (i.e. 0.5%).

In this paper, we propose a short-term Prediction-based Optimistic Object Tracking strategy (POOT) to reduce energy consumption and prolong the lifetime of sensor nodes while sacrificing only minimal tracking precision.

In particular, the combination Hypr-IDM-Hypr was able to improve resolution with minimal loss of precision.

The complexity reduction is obtained via the introduction of approximate computing, which lightens the computational load of the algorithm with a minimal loss in precision.