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A Bayesian learning framework has been integrated with the locally refined model so as to construct a sparse configuration.
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Three different tube-bank geometries were used, one with a fairly dense pitch and two with more sparse configurations.
Of the three tube-bank geometries used, one had a fairly dense pitch and two had more sparse configurations.
Three different tube-bank geometries were used, one with a fairly dense pitch and two with more sparse configurations, and comparisons are also made with previous results obtained without tubes in the bed.
The hybrid method performs better in terms of speed and memory use on large sparse configurations than both the FFT method and the HF MLFMA separately and it has lower memory requirements on general large problems.
We used input pattern pairs consisting of randomly generated uncorrelated sparse binary configurations; each configuration included 17 active cells (equalling 2.72% of the total number of cells in one area) and 608 inactive cells.
Combing with the sparse array configuration, theoretically, more wideband sources than physical sensors can be resolved.
A simulation test was conducted via application of RENAISSANCE to a hypothetical freeway network example with a sparse detector configuration, and the testing results are presented in some detail.
For local-world networks with sparse topological configuration, compared to network size, local-world size can induce stronger influence on controllability, however, for dense networks, controllability is greatly affected by network size and local-world effect can be neglected.
This work examines the sensitivity of different sparse array configurations towards uncertainty in the source DOA.
Also, our network meta-analysis results are limited by the minimal evidence available resulting in sparse network configurations, which was especially apparent for the body weight outcome.
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