Sentence examples for subsequently we can from inspiring English sources

Subsequently, we can create the kernel matrix as: (3).

Subsequently, we can apply the Moser-Trudinger inequality to the right-hand side of the above inequality: (3.6).

Subsequently, we can further express the transmitted signal of the k th user, t k)(n), in terms of ς PSK symbols d m ( k ).

Subsequently, we can conceptualize the interventions administered in either class as separate interventions, which we will refer to as the clicker feedback activity and the linear visualization activity.

The concentration inequality of the TBD matrix is simply demonstrated in Section 4. Subsequently, we can find that the TBD matrix satisfies the restricted isometry property (RIP [7] according to a theorem in[8].

Subsequently, we can recover the encrypted version of all the secret images in secret group 1, reconstruct the key Key 1, and use Key 1 to decrypt the encrypted version of the images in secret group 1.

We reconsider the most important lessons to be learned in the design of EDAs and subsequently show how we can use this knowledge to extend continuous EDAs that were obtained by straightforward adaptation from the discrete domain so as to obtain an improvement in performance.

(6.2) Then, using the initial values and their successive tangential derivative values from (6.2), we obtain the value of (u_{tt}) at (t = 0), and then subsequently from (6.1), we can compute the value of u at first time level, i.e., at (t = k).

Subsequently, we found that PRCC can interact with MAD2B and, by doing so, mediate its shuttling to the nucleus [15].

Assuming that the population labels for individuals are known, subsequently we discuss how lasso can be applied in this setting, and in the next section, present our new approach that uses an L1/ L2-regularized regression to maximize power by combining information and estimating the association strengths jointly across multiple populations.

Subsequently, we discuss how these models can be used in conjunction with existing methods to obtain uniform prioritization methods that can deliver high accuracy regardless of the centrality of candidate genes.