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The framework is evaluated on the Georgia Tech face database [12], Notre Dame (ND) Twins face database [13], FRGC [14], and the MORPH Album 1 database [15].
The framework is evaluated on a real-scale FRP-strengthened RC beam instrumented with several PZT sensors and tested with different levels of damage.
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The framework was evaluated on two full-scale domestic wastewater treatment plants (265,000 PE and 750,000 PE respectively).
Finally, the effectiveness of the proposed framework is evaluated on several case studies.
The adaptive framework is evaluated on top of a data-intensive application [10] from the field of high-throughput molecular systems biology [11], which has been Cloud-enabled with the VCE.
The proposed framework is evaluated on multiple data sets, including aerial and high resolution optical satellite images, and compared to six state-of-the-art methods in both object and pixel level evaluation, proving the algorithm's efficiency.
The proposed algorithm framework is evaluated on a real clinical dataset containing 12,700 skin biopsy images.
The framework is evaluated using a sample application based on commercial off-the-shelf software components.
The framework is evaluated in terms of effectiveness and efficiency.
The framework was evaluated in a real use experiment.
The proposed planning framework is evaluated based on a number of scenarios to demonstrate its feasibility and efficiency in several planning domains and execution circumstances which reflect concerns from different service environments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com