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Search results for: cluster
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Year: 2014, Volume: 14, Number: 2
... in a zigzag pattern, while k denotes the number are in a Non-uniform pattern (b) Tags are Scattered Randomly (c) Tags are placed in a Cluster (d) Tags are Uniformly placed in 3D space. of mobile readers involved in tracking process. TABLE I. CHARACTERISTICS OF ALL SCENARIOS. III. ...
Year: 2014, Volume: 14, Number: 2
... diagnosis of main advantages of this approach is the automatic cluster retinopathologies [9-11]. determination, and it ... precedes the edges at the related points where the gradient clustering, and artificial neural network (ANN) for ... Also, a set of parameters controls the fitness of clusters of regions with their size and pixel intensities model ...
Year: 2014, Volume: 14, Number: 2
... ƒ 1€ ƒ— ƒ— 2 ƒ x3 € x2 and x3 state variables, we obtained obtained the results in ƒ Fig. 6. The dense clustering of the sample values on a thin ƒ domain confirms the ergodic character of the analog system. where is a root of the polynomial (9 ) ...
Year: 2014, Volume: 14, Number: 2
... (DISK snapshot). storage, virtualization, management and forensics layer. The testing has been conducted in several steps. The first They are represented as a cluster of servers, each having one was to observe, measure and analyze the network the functionality presented in detail in the architecture communication and transmission overhead. section ...
Year: 2014, Volume: 14, Number: 2
... 2009. [12] I.G. Harris, Russell Tessier, "Testing and Diagnosis of Interconnect relative to the number of pipeline stages. The maximum Faults in Cluster-Based FPGA Architectures," in ICCAD'00 system frequency is close to the maximum possible for this Proceedings of 2000 IEEE/ACM International Conference on FPGA. This confirms ...
Year: 2014, Volume: 14, Number: 2
... [9] M. Belkin, P. Niyogi, "Laplacian eigenmaps and spectral techniques Lisbon, Portugal, 2005, pp. 1517-1520. for embedding and clustering," in Advances in Neutral Information [24] O. Martin, I. Kotsia, B. Macq, I. Pitas, "The enterface'05 ...
Year: 2014, Volume: 14, Number: 1
... ƒ I €ci € c1 €wi‚ T expresses the education cluster. This training data is later divided as T1 ... activation function. used two machine learning techniques: Bayesian clustering As a result, implementing a strict procedure is ... 3 6764.3 7253.593 489.293 that classifier models with less training clusters, but the 4 9862.8 9240.916 -621.884 1 13062.7 ...
Year: 2013, Volume: 13, Number: 1
... : 10.4316/AECE.2012.02008, 2012. Diagnosing the Hepatitis B Intensity Rate and Comparing it with [26] D'Urso P., Massari R., "Fuzzy clustering of human activity", Fuzzy Adaptive Neural Network Fuzzy System", Proceedings of the World Sets and Systems, Vol 215, No.16, pp. 29-54 ...
Year: 2013, Volume: 13, Number: 4
... Least Squares Modeling of Voltage Harmonic Distortion Due to PC Cluster Operation Saša MUJOVI†1, Slobodan DJUKANOVI†1, Vladan RADULOVI†1 ... . Distorted current distribution grid constantly increases. This PC clustering can negatively affect the quality of supply. The ... of PC which can affect the total current harmonic distortion Clusters," Electric Power Systems Research, vol. ...
Year: 2013, Volume: 13, Number: 4
... [3] Y. Kusunoki, M. Inuiguchi, J. Stefanowski, "Rule induction via In this paper a novel hybrid method for fast finding the clustering decision classes," International Journal of Innovative RWBCA is proposed. Usually a dataset has a lot of reducts Computing Information and Control, vol. 4, ...
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