The phrase "abilities and robustness" is correct and usable in written English.
It can be used when discussing the strengths or capabilities of a system, product, or individual, particularly in contexts related to performance or resilience.
Example: "The software's abilities and robustness make it a reliable choice for businesses looking to enhance their operations."
Alternatives: "capabilities and strength" or "skills and durability."
This paper presents a modified Bayesian estimator and discusses its unbiasedness, efficiency, learning ability and robustness.
This paper aims to improve the load tacking ability and robustness for boiler-turbine units under wide-range operation.
The simulation results indicate that the method has characteristics of small overshoot, short adjusting time and strong anti-interference ability and robustness.
Furthermore, high leave-one-out cross-validation coefficients (q2) of 0.907, 0.821, and 0.897 for these datasets, respectively, indicated enhanced predictive ability and robustness of the model.
The predictive ability and robustness of the proposed model was validated using various methods, including cross-validation and y-randomization experiments.
Simulation examples are presented that demonstrate the ability and robustness of the proposed method in achieving tighter temperature regulation and higher system efficiency control in transport refrigeration systems.
By adding the training images directly, one can obtain a composite template with high discrimination ability and robustness for face recognition task.
In this paper, we address the poor generalization ability problem of traditional auto-encoder on noise data, and propose a Lossless-constraint Denoising (LD) method, which can enhance the anti-noise ability and robustness of auto-encoders.
At the beginning stage of search process, an initialization generator is constructed to find an optimum solution with IGSA, due to its strong global search ability and robustness to the initial values.
Simulation results show the designed controllers both have satisfactory performance over the wide range of reactor operating conditions, while LADRC with model information has faster response, less overshoot, better disturbance rejection ability and robustness.
