In this thesis the simplex-in-cell algorithm is presented, which holds promise for overcoming these difficulties by interpreting the simulation particles as the vertices of a mesh that traces the evolution of the distribution function in phase space.
In LTE and HSPA, when absolute priority information for inter-RAT and inter-frequency cases is available, the AP-based cell reselection algorithm is used.
In idle mode, i.e., the state in which no dedicated resources have been established for the user, a static adjustment of the layer priorities in the cell reselection algorithm is performed.
As a result, the actual viability measured with the proposed yeast cell counting algorithm is significantly correlated to the theoretical viability (R = 0.9991).
As shown in Figure 4D, the actual viability measured with the proposed yeast cell counting algorithm is significantly correlated to the theoretical viability with the coefficient of correlation (R = 0.9991).
A high-order particle-source-in-cell (PSIC) algorithm is presented for the computation of the interaction between shocks, small scale structures, and liquid and/or solid particles in high-speed engineering applications.
For one type of cells, the algorithm is similar to bacteria's, I 2 = k 2 ⋅ x ⋅ log (x ) = log (x x k 2 ).
This approach, in which we define a T cell epitope based on a well-established T cell epitope-mapping algorithm,, is significantly different from previous analyses.
In the proposed approac,h however, the AOIs imply the different set of areas from where the UE measurements are considered in the statistics calculations used by the sleeping cell detection algorithm, being automatically generated for each small cell, and having a much reduce size (a few meters).
In the current study, an automated cell counting algorithm was created to quantify resultant migratory 4T1 breast cancer cells in cell migration assays that used 10,000 and 100,000 total seeded cells.
