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Experimental results show that the proposed method enables successful inpainting of missing areas.
From the obtained results, it can be seen that the proposed method enables successful reconstruction compared to these conventional methods.
From the obtained results, we can confirm that the proposed method enables successful inpainting of such large missing areas.
From the obtained results, we can see that the proposed method enables successful resolution enhancement in several areas of the obtained HR frames.
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Then, the proposed method enabled successful ordinal regression, i.e., successful estimation of prediction error degrees.
Therefore, this method enabled successful treatment of an esophageal defect and wide skin defects of the anterior chest wall.
However, we can also say that our method enabled successful detection of conservation of long distances between split clusters.
HPLC analysis shows that this method enabled successful extraction of phenolic acids: ferulic, trans-p-coumaric, caffeic acids were identified.
Although these variational image inpainting methods enable successful reconstruction of the structure components, images also include other different important components, i.e., texture components, and alternative methods tend to output better results.
Given that the objective of this work is to develop and evaluate a method that enables successful registration of TIR images with visible images for an AR-based system for building diagnostics, developing the final system is not on the current research agenda and therefore an algorithm performance analysis in terms of run-times is not part of the studies presented here.
This method enables the successful transfer of single-layer graphene onto polymethyl-methacrylate (PMMA)/AB-glue/polyethylene-terephthalate (PET) up to 14-inch with a sheet resistance of 219 Ω sq−1 at 96.5% transmittance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com