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My name is Reena .., I need the source code of detection and localization of spoofing attacks by multiple users ...so I request you to mail me if you can to [email protected]...,As It will be helpful to do my final project....
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Abstract:
This paper presents an approach for integrating e-learning with the traditional education system. A conceptual map is then created for this integration leading to a functional model for open and flexible learning. In the proposed integration, convergence of CD-based, class based and web based education in recommended and architecture to achieve this convergence is presented. In order to transform the existing schools, colleges and universities into digital campuses, an inclusive system architecture is designed for digital campus. A c ....etc

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Description : The article argues that it is necessary to move e-learning beyond learning management systems and engage students in an active use of the web as a resource for their self-governed, problem-based and collaborative activities. The purpose of the article is to discuss the potential of social software to move e-learning beyond learning management systems. An approach to use of social software in support of a social constructivist approach to e-learning is presented, and it is argued that learning management systems do not support a so ....etc

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I want to develop the project So tha need the source code for my reference.. ....etc

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i can't download the file,plz give me the download link ....etc

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about neural networks learning process free power point presentation
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pls send me neural interfacing ppt to the gmail account.my email id is:[email protected]
pls send me neural interfacing ppt to my mail id :[email protected]
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INTRODUCTION
Artificial intelligence is the part of computer science concerned with designing intelligent computers.
Learning implies that a processing unit is capable of changing its input/output behavior as a result of changes in the environment
NEURAL NETWORKS
Process of humans doing intelligent things.
Neural networks and artificial neurons
Brain modeling
Artificial system building
LEARNING IN ARTIFICIAL NEURAL NETWORKS
Machine Learning
Learning Agents
Ideal Ration ....etc

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Abstract—In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propos ....etc

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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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