Sentence examples for avoiding the shortcoming of from inspiring English sources

This paper presents a rapid and simple risk calculation method for large and complex engineering systems, the simulated maximum entropy method (SMEM), which is based on integration of the advantages of the Monte Carlo and maximum entropy methods, thus avoiding the shortcoming of the slow convergence rate of the Monte Carlo method in risk calculation.

Biodegradable polymer inorganic composites particles can provide significant advantages while avoiding the shortcomings of using polymer or inorganic particles alone as drug delivery vehicles.

Also included is a study carried out by the authors focused on the prototyping of an MR system aimed at avoiding the shortcomings of other prototypes manufactured to date.

The proposed UWLS, CWLS and SDP algorithms provide the joint estimates for the source locations and clock parameters and avoid the shortcoming of ML estimator which requires an initial solution.

To avoid the shortcoming of these results, Medveď [3] presented a new method to discuss nonlinear singular integral inequalities of Henry type and their Bihari version as follows: (1.1).

To avoid the shortcoming of these results, Norbuy and Stuart [12, 13] presented some new inequalities to describe the numerical method for weakly singular Volterra integral equations, which is based on a variable mesh.

The virtual controller is enhanced by a finite-time disturbance observer, and the dynamic surface control technique is adopted for the virtual controller to avoid the shortcoming of "explosion of terms".

It is clear from the results that the proposed BBO method has excellent convergence property, require less computational time and can avoid the shortcoming of premature convergence of other optimization techniques to obtain the better solution.

Advancing cell isolation technique provides the opportunity to avoid the shortcoming of using biochemical labels and presents better flexibility for subsequent characterization, such as on site screening, high throughput screening, and personalized medicine.

To avoid the shortcoming of probabilistic method in the case of inadequate data, a non-probabilistic uncertainty modeling for the FG nanobeams is developed by quantifying nanomaterial uncertainties as interval parameters.

Such an approach to post-discharge outcome ascertainment avoids the shortcoming of unreliable patient self-report on readmission, and the potential challenges associated with determining vital status of patients that we are unable to reach by telephone.