As a societal network infrastructure of the future, it is of great value to achieve scalability and robustness in a well-balanced manner at the same time.
Here, we show that consideration of Galilean invariance in fluid solid interfacial dynamics can greatly enhance the computational accuracy and robustness in a numerical simulation.
The real-life implementation of this technology in the future is expected to increase productivity, resource utilisation and robustness in a tyre-manufacturing environment.
To develop an optimal quantitative LC/MS method with high sensitivity, high selectivity and robustness in a limited time period can be very challenging, especially for methods in which many analytes are to be quantified.
ED-SAM (R2 = 0.8890, RMSEP = 7.00 g kg−1, RPD = 2.96) indicated the highest accuracy and robustness in all algorithms, which was an optimal model for soil identification and prediction, and CC-SAM (R2 = 0.8572, RMSEP = 7.89 g kg−1, RPD = 2.44) was an alternative choice, especially for prediction with different soil types.
Numerical examples are presented to demonstrate the efficiency and robustness in obtaining a unique feasible prestressed mode for various cable domes.
The proposed model identification and tuning rules show applicability and robustness in experiments on a test rigs as well as in simulations using the OLGA simulator.
Here we present biochemical, genetic and cellular signaling findings that describe mechanisms underlying specificity and robustness in Ca2+ signaling within a single cell type and demonstrate an unexpected strong dependence of the Ca2+-dependent signal transduction branch on the Ca2+-independent pathway in guard cells.
The summation of preliminary scale-up and potency data showed scalability and robustness in the production of an active disulfide-bonded form of a recombinant botulism vaccine candidate.
Therefore, due to its reliability, consistency and robustness in mask estimation ability over a range of acoustic environments, the FCM algorithm is deduced as the most suitable data classification technique out of the three evaluated in this study for the purposes of mask estimation in this BSS framework.
Huang et al. (Eds).: ICIC, LNBI 6840, Springer-Verlag, Berlin Heidelberg, (2011), pp. 596 603, the aim of this work is to discuss, in details, how the adopted strategies, designed and tested on an initial reduced data set, reveals good performance and robustness in terms of FPs reduction on an enlarged cohort of new cases.
