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At last, the parallelism/pipeline exploration and application partitioning are performed to create scheduling code based on the hardware and software abstracts.
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Fatigue treatment of carbon fibre reinforced plastics (CFRP) laminates were performed to create defined damage states.
Logistic regression and machine learning analyses were performed to create predictive models.
Ten thousand simulations for seven building shapes were performed to create a comprehensive dataset covering the full ranges of design parameters.
Image transformations (dilatation, rotation, resampling) can be performed to create new images with a vent-centered metric coordinate system.
To generate a library of highest possible diversity, size and quality, combinatorial mixing of heavy and light chains was performed to create all possible gene combinations.
Maximum likelihood supervised classification technique was performed to create the signature class of significant land cover category (deep water, shallow water, vegetation, and settlement).
In this paper, first a freeform optical design was performed to create a two-stage concentrator with ±1° acceptance angle and uniform output irradiance.
Ten thousands simulations for seven building shapes were performed to create a comprehensive dataset covering the full ranges of design parameters.
A numerical analysis was performed to create a model that could predict the behaviour of the precast reinforced concrete shear walls of different parameters.
After this algorithm is used to determine lists of source pixels for many wavelet scale sizes, cross-identification of pixels across scales is performed to create the final source list.
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