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The segment finding efficiency and the spatial resolution attainable with the proposed algorithm as well as the required CPU time are benchmarked using the Cosmics Muon data and found to surpass the HLT requirements.
These mechanisms represent the source and sink terms in the IATE and their mechanistic models are benchmarked using experimental data obtained in a 25 mm inner diameter ground-based test section wherein reduced-gravity conditions were simulated.
Results obtained with different risk measures are benchmarked using two reservoir examples, namely, a channelized reservoir model and the well-known Brugge reservoir model in order to determine the effect of the choice of the risk measure.
The algorithms are benchmarked using the 1998 DARPA Intrusion Detection Evaluation Data where the former scores the best results.
The screen printed SWCNTs sensors are benchmarked using potassium ferrocyanide (II), DA, hydrazine, and capsaicin.
The techniques are benchmarked using data from yeast (using published data from ChIP studies in yeast, which should be enriched in nucleosome-associated DNA), then applied to mammalian genomes.
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The model was benchmarked using experimental results.
The code is benchmarked using linear and nonlinear problems.
The system design has been optimized and experimental results have been benchmarked using Monte Carlo simulation.
The effectiveness of the proposed method is benchmarked using several antibody antigen PDB complexes.
Studies on parametric analysis and composite action between core concrete and steel tube have been carried out using FE modelling which had been benchmarked using the test data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com