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The measurements of the performance indicate that the design is reliable.
The findings regarding the thermal performance indicate that the basefluid material has little influence on the heat transfer enhancement in the conduction mode.
The developed tool provides more comprehensive support for analysis tasks than existing tools and measures of performance indicate that the integration of synthesis and sense-making is feasible.
Finally, the benchmarks conducted for validation and performance indicate that the upgraded method is able to not only present a good precision when setting suitable parameters, but also give an efficient way to compute electrostatic interactions for huge simulation systems.
The cost savings in the new HX designs compared to those of the shell-and-tube HXs, at similar heat load performance, indicate that the new HX architectures proposed in this paper are valid alternatives to traditional HX designs.
Studies on the energy conversion performance indicate that the PTC can achieve the collector efficiencies of 18.78 84.17% and 81.93 84.17% at the typical conditions for Brayton and Rankine cycles, respectively, where the efficiency increases with decreasing Tin and increasing vin.
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The conclusion of the indicator performance indicates that the RVSIM index delivers a highly competitive prediction accuracy on the LIVE and CSIQ databases.
A detailed comparison of the overall performance indicated that the SVM model performed better than ANN and ANFIS in river flow forecasting for the validation data sets.
A detailed comparison of the overall performance indicated that the ANFIS model performed better than both the ANN-1 and ANN-2 in SWC modeling for the validation data sets in this study.
A detailed comparison of the overall performance indicated that the neuro-fuzzy model performed better than both the Levenberg Marquardt-FFNN and the Bayesian reguLevenberg Marquardt-FFNN
A detailed comparison of the overall performance indicated that the combined input model (combination of rainfall and inflow) performed better in both lumped and distributed input data modelling.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com