Sentence examples for we further formulate from inspiring English sources

In order to keep the result patterns concise and explicit, we further formulate the problem of maximal FRACTURE mining.

With the established user equilibrium conditions, we further formulate the deployment of charging lanes as a mathematical program with complementarity constraints.

Specifically, we further formulate the transmission scheduling problem in an online manner by assuming the knowledge about the predicted CSI for each two consecutive time intervals.

Based on this wideband sensing approach, we further formulate the network capacity optimization problem with the guaranteed PU link rate, and derive the corresponding optimum threshold.

Then, in the second stage, we further formulate a new problem of minimizing power consumption while adhering to the solution in the first stage.

With consideration of practical constraint of limited pre-knowledge about CSI, we further formulate an online transmission scheduling problem by making an extension of the offline transmission scheduling problem.

Using the above IRIO framework, we can further formulate the unit structure model based on the IRIO model (e.g., Kagawa et al.

To exploit the spatial correlations among blocks, we obtain locklets by extracting spatially adjacent blocks, and further formulate architecture style recognition as matching between blocklets extracted from different buildings.

To incorporate this additional information, we use a conditional RBM (Salakhutdinov et al., 2007) to further formulate our prediction problem.

This research therefore provides an in-depth understanding of size effect in micro-extrusion processes, which is critical to further formulate design rules to facilitate the development of micro-parts.

Motivated by the fact that the brain is organized with modular structures, in this paper, we propose a novel functional brain network modeling scheme by encoding a modularity prior under a matrix-regularized network learning framework, and further formulate it as a sparse low-rank graph learning problem, which can be solved by an efficient optimization algorithm.