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Especially, in Loop2 procedure, we propose a new distributed iteration scheme with the complete proof.
During the per-receiver rasterization procedure, we propose three different vectorization strategies for near-, mid- and far-distance points separately.
Moreover, the iteration procedure we propose does not involve heuristic regularization parameters, and has converged in a small number of iterations for all problems we have considered.
To allow a consistent treatment of the generation term due to II within the FE procedure, we propose two novel discrete models for electron and hole current densities over the computational grid.
Finally, to avoid the complexity of the optimal geometry design procedure, we propose a fast, nearly optimal, array design scheme to enhance the capacity of resolvability under given constraints (e.g., number of sensors and array aperture).
To reduce the complexity of the design procedure, we propose a combined gradient and LMI-based algorithm for optimizing the choice of the central polynomial matrix in terms of the closed-loop performance.
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In Section "Adaptive compressive measurement procedure", we proposed our adaptive procedure and evaluation index.
As a new procedure, we proposed an experimental design-neural network strategy for wavelength region optimization.
Because many applications contain the motif comparison procedure, we proposed a novel similarity metric SPIC based on column information contents.
For designing such procedures, we propose generalized optimality conditions and efficiently computable bounds.
We cannot only rely on the benefit of the medical procedures we propose to our patients, but we have to include long-term cancer risks in the risk-benefit assessment of diagnostic or therapeutic testing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com