Sentence examples for made for optimizing from inspiring English sources

In this article, an attempt has been made for optimizing the process parameters of Electro Discharge Coating (EDC) on Aluminium-6351 alloy using SiC/Cu green compact tool by the application of utility concept of Taguchi method.

Empirical research outcomes are needed to make recommendations for optimizing policies, in order to do justice to the capacities and challenges children face when deciding about medical treatment and clinical research options.

It can then make recommendations for optimizing the traffic flow.

Under the current cost-containment policies and supported by the evidence from recent studies demonstrating that reductions of hospital stays could reduce costs without compromising patient outcomes, most hospitals are making efforts for optimizing LOS.

In other words, before the fuzzy-based rules are implemented, it makes some preprocesses for optimizing the data.

Overall, SWEI is possible using catheter-based imaging arrays to generate adequate displacements in cervical tissue for shear wave imaging, although specific considerations must be made when optimizing these arrays for this shear wave imaging application.

Few attempts have been made on optimizing both decision variables for maximizing the network coverage and lifetime objectives, even though, most of the latter studies consider the two objectives individually.

In the literature, no attempts have been made on optimizing both decision variables for maximizing the network coverage and lifetime objectives, while maintaining the connectivity constraint, at the same time.

These requirements make scheduling an important technique for optimizing the performance of communication systems and utilizing system resources efficiently.

This makes H2O2 generation a target for optimizing lignin removal from compost in A. bisporus and, consequently, improving carbohydrate consumption of this mushroom forming fungus.

This ability to search complex fitness landscapes in parallel makes GP an attractive tool for optimizing NN to solve genetic epidemiology problems.