Sentence examples for implemented a binary from inspiring English sources

We implemented a Binary Constrained PSO (BCPSO) for functional TC selection, and two hybrid algorithms integrating BCPSO with local search mechanisms, in order to refine the solutions provided by BCPSO.

We implemented a binary score by marking genes known to be essential from previous experimental work [ 20].

This modulation is obtained by implementing a binary microrelief in the DLC film, responsible for generating a localized optical path difference of half a wavelength.

To prevent two or more nodes from attempting to transmit at the same time in the network initialization phase, every node would implement a binary exponential backoff algorithm to avoid collisions before broadcasting its joining message.

As head of ICE, Vitiello could now be in charge of another round of family separations, should the government implement a "binary choice" policy in which parents can choose to either waive their children's legal right to be freed from detention or have them be released without them.

A conditional inference tree was built by first identifying the SNP (in this case, rs2243250 in IL4) which best discriminates asthma cases and non-allergic controls and implementing a binary split.

If the random mutation results in the base being changed to a G, then the compensatory mutation will be randomly chosen, with equal probability, between a C and U. To implement a binary classifier support vector machine (SVM), the LibSVM package [ 50] in R was used.

Consequently, user control is implemented on a binary decision basis.

That gives us more promising estimate when the cell complex is implemented as a binary search tree and the cells carry the information about their boundary cells.

Dijkstra's algorithm implemented with a binary heap priority queue is demonstrated as the most efficient method, with a CPU cost two orders of magnitude less than the other search algorithms.

This model is implemented in a binary decision tree, where each node represents a linear regression model over a subset of genes and each non-leaf node represents a categorisation step (e.g. associated with H2A.Z (bivalent) or not).