[PDF] Top 20 Generalized Algorithm for the Proposed Database Model

... new algorithm for proposing a better database ...This algorithm is used by the user for deciding the best data model to his ...Through algorithm we asked some questions to the user and ... See full document

... appropriate algorithm using the palmprint features ...set model proposed by Pawlak [22, 38], the lower and upper approximations are defined based on the relationships between an equivalence class and ... See full document

... deadlock algorithm for multiple executions. In Srinivasan algorithm whenever multiple initiators invoke the algorithm one after the other same deadlock cycle and similar message transfers may be ... See full document

... the generalized gamma correction for the enhancement of these two types of ...correction algorithm as a special case of the scalar multiplication of a generalized linear system ...the ... See full document

... our proposed framework through extensive simulation ...a generalized profit-oriented formulation inside decision module of MBORA system, that supplies the network provider with criteria in terms of profit, ... See full document

... Guo[14] proposed a FP tree approach which is based on inverse frequent set mining ...The proposed model has three phases, first phase generates frequent item sets from the original database, ... See full document

... The generalized equalization model provides a joint strategy for image ...integrated algorithm. we compare the proposed method with some existing white balancing algorithms, where we can see ... See full document

... In this subsection, I present the proposed model and algorithm. I present a GARCH (2, 2) model, a slightly generalized version of Buhlamann’s (2000) GARCH (1,1) model. Unlike ... See full document

... large database to store the the information of patients , doctors and nurses , etc , Which needs to be more secure and ...The proposed model stored the data of the healthcare system to the cloud ... See full document

... are proposed in literature [2, ...representation model to build an efficient classification ...Space Model (VSM) ...this model is that it results in a huge sparse matrix, which raises a ... See full document

... Network protected by different techniques and always techniques concluded by system or network, for these best solutions are cryptographic algorithms applied in system or network and some physical protection devises. But ... See full document

... Sanchez et al [3] present a tool for recognition of cattle branding that uses Hu and Legendre moments for extracting features of images in a grey scale, and also a classifier of k-nearest neighbors (k-NN). The authors ... See full document

... of proposed method to remove noise in terms of peak signal to noise ratio and visual ...enhancement algorithm for mixed digital image enhancement is relatively clear, especially in the extra noise, extra ... See full document

... This section discusses several important item related to the study; the background of DCA, outlines the statistical validating technique that covers the types of significant test and the count of wins, losses, and ties ... See full document

... The approach by using timestamp has similarities with framework by [13], a method to manage data which called Fixed End Timeout Technique (FETOT). The method will managed planned disconnection in mobile database ... See full document

... the generalized third-grade fluid model (19) is better suited for a shear-thinning fluid that presents a smoother behavior with regard to its volume flow rate, for a given mean pressure gradient, during the ... See full document

... heuristic model for fuzzy forecasting by integrating Chen’s fuzzy forecasting method ...FTS model was adjusted by the K- mean clustering algorithm to forecast the ...optimization algorithm ... See full document

... Large key space and high sensitive are necessary conditions for a security image encryption algorithm. The Lorenz chaos system we used in this paper is sensitive to the initial values and system parameters, ... See full document

... Verification is tested by Support Vector Machine (SVM), which is a successful discriminator and very effective method in the field of speaker recognition [15]. Specifically, SVM is employed in the context of statistical ... See full document

... techniques of data analysis. This is because such methods typically do not calibrate the added noise so that individual records can be used effectively with data management applications. In such cases, data mining ... See full document