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Yesterday engineers installed benchmarks in order to monitor movement along part of the wall on Liberty Street, just south of the southern tower, where a trough 70 feet deep in some places has left the wall without any support.
First we present results of some synthetic performance benchmarks, in order to establish baselines by which to compare the performance of real analyses performed by the Reeber and Gimlet.
Finally, we want to show to what extent the set-covering model can be optimally solved in larger instances taken from VRP benchmarks, in order to investigate a potential increase in the carrier's container volumes.
Therefore, we selected these two algorithms as benchmarks in order to evaluate the performance of the proposed algorithm.
This is necessary when data is used in benchmarks in order to detect best practices and stimulate quality improvement.
Finally, none of the pilots had explicit goals or performance benchmarks in order to evaluate and balance their public health and entrepreneurial goals.
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We use the closed economy workload of the YCSB+T benchmark, in order to quantify database anomalies.
For output quality analysis, we used the Berkeley Segmentation Dataset and Benchmark in order to provide comparable quantitative results.
For this benchmark, in order to obtain comparable results with all four programs, we used the VS method that they have in common, i.e., the rigid docking.
We run experiments with 4 different applications (word count, inverted index, N-Gram, and the NAS EP benchmark), in order to gauge our system's performance under different conditions.
The goal of this study is twofold: First, various AD measures are benchmarked in order to identify measures that best characterize the probability of misclassification for individual predictions.
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