Sentence examples for make it robust to from inspiring English sources

"make it robust to" is a grammatically correct phrase and can be used in written English.
It is typically used when discussing the resilience or stability of something. Here is an example sentence: "The company's new security system was designed to make it robust to hacking attempts, ensuring the safety of customer data."

Exact(6)

The WBN algorithm was developed by modifying the block LMS algorithm to make it robust to outliers and the proposed method employed a weighting matrix.

The aim is to robustify the nonnegative garrote method for linear regression as to make it robust to vertical outliers and leverage points.

This paper presents the design and implementation of a feedback control system for the customizable suspension to uncouple the system and to make it robust to the noise factor.

We define this criterion based on gene pre-selection and sample clustering to make it robust to noise and outliers.

Our perspective supposes that selection can tune the parameters of the system to make it robust to mutations.

Since the assay uses multiple enzymes, which might result in a few false hits depending on the composition of the chemical library, we have optimized assay formulations to make it robust to the interference from compounds.

Similar(54)

Equipping this system with various compensation methods has made it robust to different noise types.

It uses middle frequencies and local image characteristics; this makes it robust to a certain extent against low pass filter attack and JPEG compression.

This model uses a feature-based map of the environment and the feature extraction process makes it robust to occlusions and changes in the environment.

Discriminant analysis with artificially simulated pose errors in the latent space makes it robust to small pose errors caused due to a subject's incorrect pose estimation.

The IQR has a breakdown point of 50%%, which makes it robust to long tails in the distribution while still being a good measure of the dispersion or skewness in the distribution.

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