Sentence examples for and robust features of from inspiring English sources

Suggestions(1)

The phrase "and robust features of" is correct and usable in written English.
It can be used when describing the strong and effective characteristics of a product, service, or system.
Example: "The software is known for its user-friendly interface and robust features of data analysis and reporting."
Alternatives: "and strong attributes of" or "and powerful aspects of".

Exact(1)

One major contribution is that the new controller structure, which is a fractional-order predictive PI controller, retains combined benefits of conventional predictive control algorithm and robust features of fractional-order PID controller.

Similar(59)

This directly gives us an important and robust feature for segmentation of the vessel flow without additional preprocessing steps like local normalization for example.

Accordingly, the adaptive dynamics approach of Dieckman and Doebeli shifts the attention away from modelling details and towards robust features of the ecological interaction structure.

Simulation example demonstrates the effectiveness and the robust features of the proposed controller.

Leibler computationally predicted and later experimentally verified robust features of chemotaxis control networks [13] and Stelling et al., reviewed several examples of robust biological networks [9].

In this system we required the co-expression of Pikp-1, Pikp-2 and AVR-PikD to observe robust features of cell death, including necrotic tissue and accumulation of phenolic compounds that give rise to auto-fluorescence (Bos et al., 2006).

Unlike the MUAP duration, the MUAP area, amplitude and area:amplitude ratio are robust features of the MUAP in that they are less sensitive to the signal-to-noise ratio and inter-operator differences in signal selection.

While you can bookmark sites and add tags and notes, it doesn't offer the robust features of Diigo, including annotation.

The SMPC combines the main advantages of the two control methods: the robust features of SMC and the good performance of MPC, including the handling of constraints on manipulated and controlled variables.

We find (data not shown) that the statistical significance of the transition regions persists for a broad range of values of k and therefore these regions correspond to robust features of the relative connectivity profiles.

Fingerprint extraction entails the determination of robust features of the audio signal and then building a fingerprint representation based on those robust features [12].

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