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Besides, in order to have a reliable performance evaluation process, large-scale instances are regarded in computational analysis.
Reliable performance evaluation of wastewater treatment plants (WWTPs) can be done by simulating the plant behavior over a wide range of influent disturbances, including series of rain events with different intensity and duration, seasonal temperature variations, holiday effects, etc.
A reliable performance evaluation of these systems is at the same time crucial, in order to enable administrators and developers to keep the pace with data growth, and extremely difficult, due to the intrinsic complexity of these architectures.
The OU-ISIR Gait Database, Large Population Dataset [27] was collected with the aim to a statistically reliable performance evaluation of large-scale gait recognition.
This paper described the construction of a gait database comprising a large population dataset with a wide view angle and presented a statistically reliable performance evaluation of vision-based cross-view gait recognition.
This paper describes the world's largest gait database with wide view variation, the "OU-ISIR gait database, multi-view large population dataset (OU-MVLP)", and its application to a statistically reliable performance evaluation of vision-based cross-view gait recognition.
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In this sense, plant produced mixtures should be directly investigated to obtain reliable performance evaluations.
The feed stream is considered multi-component, with real chemical species, enabling reliable performance evaluations at different scenarios of pressure, temperature and composition of the gas to be treated by permeation.
By examining reliable performance evaluations and the positive effect of the training process targeting preschoolers with a high functioning level, we then verify that the proposed system can induce a positive transition in the response of children with ASD and the possibility of a labor-saving effect in carrying out autism treatments.
Obviously, a key component of this chain is designing a robust and reliable Supplier Performance Evaluation (SPE) methodology where numerous tangible and intangible evaluation criteria come into play reflecting the multifaceted characteristic of the decision problem.
Owing to the sparsity of the protein disease associations derived from Uniprot and GHR, only few of the benchmark miRNA disease associations are of miRNAs or diseases that are present in the input data, hindering reliable prediction performance evaluation.
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