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Many experiments prove that this is not possible.
Our experiments prove that this physical treatment is efficient on the white shellfish, gray and brown concretions.
The early experiments prove that this method can do atleast as well as the existing systems in finding and classifying the function clones in C and Java.
The relative experiments prove that this approach not only can withstand common attacks on 3D models such as polygon mesh simplifications, addition of random noise, model cropping, translation, rotation, scaling, as well as a combination of such attacks but also can detect and locate tampered vertices.
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Experiments prove that the method has better robustness.
The results of test experiments prove that the presented method is feasible.
The experiments prove that the performance has improved weakly for the next five iterations.
The experiments prove that the monolithic reactor is an attractive alternative for conventional three-phase reactors.
The results of numerical simulations and the experiments prove that the identification method is feasible.
Taken together, our experiments prove that the avian hippocampus is involved in spatial learning, but not in pattern discrimination tasks.
Practical experiments prove that the proposed method can realize reliable depth sensing with off-the-shelf devices.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com