digital cellular neural network
A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... In this paper, we present a comparative study in the Matlab/Simulink environment between three topologies of three-phase multilevel inverter MLI (five-level). We will consider the Flying Capacitor Multilevel Inverter ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... Data mining is the computer-assisted process of digging through and analyzing enormous amount of data and then extracting the meaning of the data. It is concerned with analyzing large volumes of unstructured data to ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... The Multipliers play a major role in arithmetic operations in the digital signal processing application. Currently the need for low power multiplier has been increased due to the increasing demand for portable ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... the digital images produced are noisy and need proper processing, that the features like size, shape, color and internal features like nucleus its size and color (WBC) of the various blood cells are clearly ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... The network quality of service (QoS) parameters and handover measures carry a significant role in choosing the most effective network. Handover measures information is gathered from the handoff induction ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... because a schema-operation cannot be renamed; whereas in this paper, the name of an operation is separated from its implementation, which makes the specification powerful enough to defin[r] ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... In this paper, simple and fast technique is proposed to enhance the quality of the input image by using a smoothing filter which will reduce the noise and the effect of the image variati[r] ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... The ant colony algorithms simulate the behavior of real ants using a colony of artificial ants to find the optimal path between the data [1].. The basic idea is that the probability that[r] ...
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FIR Digital Filter and Neural Network Design using Harmony Search Algorithm
... complex neural networks optimization algorithm plays a vital role in determining the weights and bias of the ...the neural network will give the same output even by introducing some amount of noise ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... sensor network consisting of multiple source nodes; several relay nodes and a ...a network routing mechanism which maintains the network connectivity through selection of only a few relay nodes to ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... It has reported the weaknesses in the methods used in the eBay model as one of the best sites in e-commerce among C2C, and has put forward a proposal to increase trust by using FR techno[r] ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... [11] P.Yin, S.Yu, P.Wang, Y.Wang, A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems, Computer standards and interfaces, 2006,28, pp.441-45[r] ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... In our proposed technique, we have applied the stop word removal technique in the given documents to make the documents suitable for further processing and we have applied the master con[r] ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... To illustrate the effectiveness of our approach, we use the network simulator NS-2 [10] , knowing that in our example the buffer size is 400, and that the average size of a packet is 500 bytes. Thus, considering ...
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A. Image Acquisition
... the network are represented by the mathematical symbol, ...other network structures which utilize different summing functions as well as different transfer ...
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A Prototype CVNS Distributed Neural Network
... lumped neural network is increasing as the number of inputs increases, and it is always less than the NSR of other ...truncated network are less than those numbers in the complete CVNS ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... In the literature various Mobile Agents Systems (MASs) have been created, but with different proprietary technologies and application programming interfaces. In a heterogeneous network, an agent may need to ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... An automatic brain tumor revealing method that uses T1, T2_weighted and PD, MR images to find out any kind of abnormality in brain tissues was revealed by AmirEhsan Lashkari [4]. In this method, Gabor wavelets, energy, ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... Our study shows that combining plain text with HTML tags information for NB classification founded on our proposed model, results in: 1 Better performance than using plain text alone, ev[r] ...
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A TECHNIQUE FOR TUMOR REGION IDENTIFICATION USING CELLULAR NEURAL NETWORK
... Federation Layer Federation layer is segregated in three sub layers i Ontology layer for mapping global and local ontology, ii Query Processing layer for query decomposition, query execu[r] ...
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