Sentence examples for is more robustness from inspiring English sources

There is more robustness in several important conclusions this time.

Log-linear models require discrete measurements, and from dichotomizations of the continuous variables, some statistical information is lost; on the other hand there is more robustness in LLM because less parametric modeling is assumed than with the SEM.

Simulations on real images by using the wavelet-based implementations demonstrate the proposed method performs very well in both watermark imperceptibility and robustness and is more robust to typical signal processes, e.g., additive noise, JPEG compression, etc., as compared with the state-of-the-art watermarking methods.

Resilience in the context of ERS is more than robustness; resilience implies that when the system is placed into an environment in which it was not originally intended to operate, after some degradation in performance, the system can be adapted or reconfigured to perform at its intended levels.

Numerical simulations show that the proposed RDG-UKF is more effective and robustness in dealing with the model errors and low precision sensors for the attitude estimation of small satellite by comparing with the classical unscented Kalman Filter (UKF).

The reason for using global methods, as shown in this paper, is more related to robustness than speed.

What is more, 2D- l 1-SVD has better robustness to the assumed number of sources and enhanced-2D- enhanced-2D- l 1-SVD 1-SVDspurisus peablewhich are caused by inappropriato regularization parameter.

However, testing the service composition for robustness is more difficult than testing regular applications because the number of test scenarios and the cost of testing greatly increase with the increasing number of component services.

The method is more strategic than previous robustness analysis [52], as it focuses on parameter sets that best allow the model to match a full set of training data, avoiding time-consuming sensitivity analysis of parameter sets that cannot describe the biology of interest.

The method is more efficient and possesses double robustness property.

(2) The SCF credit risk assessment model based on SVM is of good generalization ability and robustness, which is more effective than BP neural network assessment model.