Sentence examples for feasible processing from inspiring English sources

Then, the superstructure optimization is performed on a network containing 13 likely products giving 30 feasible processing routes, considering different scenarios and objectives.

Feasible processing of strongly tainted carcasses is challenging but gains in importance due to the European ban on piglet castration in 2018.

An efficient method is proposed for sheet metal forming to optimize the feasible processing parameters and to predict the performance tolerance that induced by fluctuation of noise factors.

The validated systematic model is used for developing design charts that allow the determination of the desired air permeability and the filtration performance of the nano-fibrous web from the electrospinning parameters and vice versa within a wide range of feasible processing parameters and fiber diameters.

The volume, accumulation velocity, and complexity of biological data have grown beyond any feasible manual processing scenario, easily fulfilling all criteria for big data.

Implementing QMS in HPC-processing laboratories is feasible, and many processing laboratories are already accredited according to various standards.

To do this, an additional complexity constraint was applied to keep the computational processing feasible.

To make the concept of distributed processing feasible we have to write new programs.

In this communication, we describe possible visual interfaces for various temporal media, and we propose methods for the economically feasible large scale processing of documents.

Another great advantage of the PGSS technique resides in the plasticizing effect of scCO2 when diffused into a polymer or lipid matrix which allows their melting under mild temperatures, becoming feasible for drug processing [91].

LiDAR and other high resolution datasets must be processed in relatively small subsets due to their large volumes; however, conventional classification techniques cannot be fully automated and thus are unlikely to be feasible options when processing large high-resolution datasets.