The high retention time and analytical reproducibility of the detected ions demonstrate that the presented methodologies can deliver the robustness required by a metabolic profiling study.
The two-part randomness (random subset of patients, random subset of variables) employed by the random forest method has been shown to deliver considerable robustness to noise, outliers, and over-fitting, when compared to a single tree classifier.
Yet, choosing a specific service composition may fail to deliver the expected robustness, but reverting early choices may jeopardise the success of any Cloud project.
An Artificial Immune System (AIS) paradigm, which is an engineering analog to the human immune system, is adopted to deliver the performance and robustness required by a multi-agent system.
The robustness map is used to explain the behaviour of bladed discs investigated in previous studies and to give possible methods of delivering more robust bladed disc designs.
Robust products deliver a strong "signal" regardless of external "noise" and with a minimum of internal "noise". Any strengthening of a design, that is, any marked increase in the signal-to-noise ratios of component parts, will simultaneously improve the robustness of the product as a whole.
Robustness is generally the ability to deliver capability in unknown future conditions.
In addition, we show that the methods based on local orthogonal projection with a safeguard against folding deliver the best combination of simplicity, accuracy, efficiency, and robustness.
Although messaging via SMS and WhatsApp might seem limited at first, their extreme simplicity, robustness and universal availability allow us to deliver high-impact, low-cost intervention to every person in Africa". MomConnect has already proved that.
In statistics, the ability of a certain technique to deliver accurate results, although its assumptions are violated, is called the robustness of that technique.
They provide improved workflows that are designed to deliver unparalleled ease of use and accessibility for nonexperts without compromising robustness or reliable performance.
