Sentence examples for rough technique from inspiring English sources

The phrase 'rough technique' is correct and usable in written English.
You can use it to describe a technique that is done in an inexpert or unsophisticated manner. For example, "His rough technique was not the best way to fix the problem."

Exact(3)

As in much of his work from this period, Gauguin applied thick paint in a heavy manner to raw canvas; in his rough technique and in the subject matter of religious peasants, the artist found something approaching his burgeoning "primitive" ideal.

I can tell that somebody is skillful, but also sometimes I can see when somebody has a little bit more taste but has a little rough technique or weak timing.

This is a rough technique and it will often look forced if the goal is a realistic image.

Similar(57)

But Beaver's memo implied that if an interrogator were to obtain "immunity" from command authorities in advance, the laws criminalizing waterboarding and other rough techniques could be circumvented.

The mutating headgear continues with little consequence in a group of large ink and gouache works, in which Ms. Sikander experiments with rougher techniques, and also in a short digital animation.

Rough in technique but worthy in intention, "Out of Status" listens to those whose voices are seldom heard.

Early explorers determined heights in this way, but the results were very rough; this technique was not accurate enough for surveyors until sensitive methods for temperature measurement were developed.

The described calibration procedure can be seen as a rough fingerprinting technique, as the one described in [5].

Using illustrative data, sensitivity results help evaluate the neighborhood rough set technique's robustness with various reverse logistics performance factors.

Three data mining methods (i.e., decision rules, k-nearest neighbours, and decomposition tree) based on the rough set technique were then applied to construct prediction models from the extracted physiological features.

Based on the proposed linear threshold-hurdle model, two data mining methods based on the rough set technique, namely, decision rules and decomposition trees, are employed to predict product adoption in a large social network.

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