نتایج جستجو برای: shannons entropy method
تعداد نتایج: 1681421 فیلتر نتایج به سال:
-High order entropy coding is a powerful technique for exploiting high order statistical dependencies. However, the exponentially high complexity associated with such a method often discourages its use. In this paper, an entropy-constralned residual vector quantization method is proposed for lossless compression of images. The method consists of first quantizing the input image using a high ord...
Selection of appropriate material is a crucial step in engineering design and manufacturing process. Without a systematic technique, many useful engineering materials may be ignored for selection. The category of multiple attribute decision-making (MADM) methods is an effective set of structured techniques. Having uncomplicated assumptions and mathematics, the MULTIMOORA method as an MADM appro...
Abstract Dempster Shafer theory is the most important method of reviewing uncertainty for information system. This theory as introduced by Dempster using the concept of upper and lower probabilities extended later by Shafer. Another important application of entropy as a basic concept in the information theory can be used as a uncertainty measurement of the system in specific situation In th...
The entropy generation during hydromagnetic boundary layer flow of a viscous incompressible electrically conducting fluid due to radial stretching sheet with Newtonian heating in the presence of a transverse magnetic field and the thermal radiation has been analyzed. The governing equations are then solved numerically by using the fourth order Runge-Kutta method with shooting technique. The eff...
Abstract Terrorism is a scourge of humanity. Thousands people were killed by terrorists in the last years. To understand structure, information flow and leadership terrorist cells must for all societies to prevent future attacks. Network theory can help model such identify leading members therein. This contribution uses graph theoretical approach as basis enriches it an entropy‐driven knowledge...
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