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Titlebook: Special Relativity; Will it Survive the Jürgen Ehlers,Claus Lämmerzahl Book 2006 Springer-Verlag Berlin Heidelberg 2006 Albert Einstein.Gr

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B. Mashhoonnt uncontrolled environments such as different resolutions, different image sizes, different numbers of input images, different illumination, and bad lighting. The results showed that the proposed algorithm could stitch correctly with a different overlapping area up to 20% and sometimes more for the
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F.W. Hehl,Y.N. Obukhovplement a compression process. In this paper, two entropy encoders are used; the first one is the lossless compression method LZW and the second one is an advanced version for the traditional shift coding method called the double shift coding method. The proposed system performance is analyzed using
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R. BluhmThe Higgs, Digg, and Twitter Dynamic networks were used in an experimental framework to compare the two hypotheses with the standard model. According to the findings, the suggested technique can boost the impact spread from the baseline model by 6% to 200%.
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L.F. Urrutiahe input variables value for C-SVM with RBF kernel function. The results showed that the original averaged models have better performance than the difference models. In addition, the original averaged value model with 30 seconds time interval is the optimal classification model. This study suggested
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he input variables value for C-SVM with RBF kernel function. The results showed that the original averaged models have better performance than the difference models. In addition, the original averaged value model with 30 seconds time interval is the optimal classification model. This study suggested
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