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Cancer is one of the top fatal diseases in the world. When cancer patients undergo treatment, they need a different diet to help them withstand the side-effects of treatment, as well as to provide sufficient nutrition to boost the recovery cycle. Most of the dietician systems currently in the market are more in the advice area rather than recommending specific diet menus for users. These systems usually...
A new paradigm full-connect dynamic networks on chip (FC-DYNOC), which supports the communication among modules dynamically placed on a reconfigurable device at runtime is presented in this paper. Based on the cluster theory, this structure increased the number of connections between router and process element, and the PE has the ability to select the source and the destination router for transmitting...
Machinability evaluation and examination is fundamental for process planning while an effective weight method is one of the primary concerns of machinability evaluation and examination in process planning. In this paper, a new improved approach for calculating the weights of extracted indices in machinability evaluation and examination in process planning is proposed based on the conventional Delphi...
Recently, as the fast development of the computer network communication technology, itpsilas more and more convenient for the digital information storage and transmission. Therefore, more and more attention is focused on the copyright protection of digital information. An algorithm that gray image as watermark is embedded in original color-image is introduced. This algorithm thinks over both unobtrusiveness...
Clustering is used to find out the objects that resemble each other and compose different groups, cluster analysis is an important job in data mining. This article brings the rough set into fuzzy cluster, by using the methods of attributes contracted in the rough set theory to improve the FCM algorithm; the improved algorithm had been proved a high precise ratio.
Classification, which is the task of assigning objects to one of several predefined categories, is a pervasive problem that encompasses many diverse applications. Decision tree classifier, which is a simple yet widely used classification technique, employs training data to yield decision rules; moreover, it can create thresholds and then split the list of continuous attributes into descrete intervals...
Data mining has been a popular research area for more than a decade because of its ability of efficiently extracting statistics and trends from large sets of data. However, in many applications, the data are originally collected at different sites owned by different users. The distributed data mining raises concerns about the privacy of individuals. This paper considers the problem of privacy preserving...
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