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Title: Voice recognition based on artificial neural networks
Page Link: Voice recognition based on artificial neural networks -
Posted By: [email protected]
Created at: Sunday 07th of February 2010 04:12:19 AM
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Title: voice recognition based takeplace robot
Page Link: voice recognition based takeplace robot -
Posted By: polurivinay
Created at: Saturday 24th of December 2011 05:35:51 PM
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Title: Static and Dynamic Channel Assignment Using Neural Networks
Page Link: Static and Dynamic Channel Assignment Using Neural Networks -
Posted By: seminar class
Created at: Thursday 05th of May 2011 01:23:18 PM
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Abstract
In this paper, we examine the problem of assigningcalls in a cellular mobile network to channels in the frequencydomain. Such assignments must be made so that interferencebetween calls is minimized, while demands for channels aresatisfied. A new nonlinear integer programming representationof the static channel assignment (SCA) problem is formulated.We then propose two different neural networks for solving thisproblem. The first is an improved Hopfield neural network whichresolves the issues of infeasibility and poor solution q ....etc

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Title: voice recognition based takeplace robot
Page Link: voice recognition based takeplace robot -
Posted By: ashokbommi
Created at: Tuesday 27th of December 2011 10:39:11 AM
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Title: Application of Data Mining Techniques for Medical Image Classification
Page Link: Application of Data Mining Techniques for Medical Image Classification -
Posted By: seminar class
Created at: Wednesday 04th of May 2011 05:41:04 PM
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ABSTRACT
Breast cancer represents the second leading cause of cancerdeaths in women today and it is the most common type ofcancer in women. This paper presents some experimentsfor tumour detection in digital mammography. We investigatethe use of different data mining techniques, neuralnetworks and association rule mining, for anomaly detectionand classification. The results show that the two approachesperformed well, obtaining a classification accuracyreaching over 70% percent for both techniques. Moreover,the experiments we conducted ....etc

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Title: Detecting Original Image Using Histogram DFT and SVM
Page Link: Detecting Original Image Using Histogram DFT and SVM -
Posted By: seminar class
Created at: Tuesday 03rd of May 2011 07:19:58 PM
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Abstract
Information hiding for covert communication is rapidlygaining momentum. With sophisticated techniques beingdeveloped in steganography, steganalysis needs to beuniversal. In this paper we propose Universal Steganalysisusing Histogram, Discrete Fourier Transform and SVM(SHDFT). The stego image has irregular statisticalcharacteristics as compare to cover image. Using Histogramand DFT, the statistical features are generated to train One-Class SVM to discriminate the cover and stego image.SHDFT algorithm is found to be efficient an ....etc

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Title: voice recognition based pick and place robot
Page Link: voice recognition based pick and place robot -
Posted By: nehakavya
Created at: Saturday 17th of December 2011 12:30:31 AM
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Title: Cluster-based Cooperative Back Propagation Network Approach for Intrusion Detection
Page Link: Cluster-based Cooperative Back Propagation Network Approach for Intrusion Detection -
Posted By: seminar class
Created at: Monday 09th of May 2011 12:35:33 PM
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Cluster-based Cooperative Back Propagation Network Approach for Intrusion Detection in MANET
Abstract
Mobile ad-hoc networks (MANET) are particularlyvulnerable on account of its intrinsic characteristics of openmedium, dynamic topology, absence of central authorities,distributed cooperation and constrained capability. Thesevulnerabilities create significant challenges for routingprotocols operating in the entire network. In which, thereactive routing, i.e. AODV, bears the brunt of various kinds ofattacks. In this paper, we try ....etc

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Title: voice recognition based takeplace robot
Page Link: voice recognition based takeplace robot -
Posted By: polurivinay
Created at: Saturday 24th of December 2011 05:35:51 PM
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Title: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor
Page Link: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor -
Posted By: seminar class
Created at: Monday 02nd of May 2011 06:48:32 PM
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Adaptive Integral Position Control Using RBF Neural Networks for
Brushless DC Linear Motor Drive
Abstract

The paper presents an adaptive integral positioncontroller usingRBF (Radial Basis Function) neural networks (NNs)for a brushless DC linear motor. By assuming that the upper boundsof the nonlinear friction and force ripple, an RBF NN is used forapproximating the friction, the force ripple and the load; an adaptivebackstepping control with integral action is then proposed to achieveposition tracking of the linear motor. The paramete ....etc

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