Showing 6 open source projects for "network graph analysis"

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  • 1
    ECEbuntu

    ECEbuntu

    ECEbuntu - a customized operating system designed for ECE

    ...ECEbuntu is targeted to universities and students as it represents an environment that contains more than 30 pre-installed software and packages all catering to undergraduate course-work in ECE. ECEbuntu supports a range of tools including programming tools, tools for circuit analysis and pcb design, mathematical and numerical analysis tools, network analysis and tools for microwave and RF transmission design. ECEbuntu is free and is intended to be an alternate to existing copyrighted/expensive solutions. It is built on top of Ubuntu 12.04 LTS operating system. ECEbuntu attempts to reduce duplication of effort for building software workstations in laboratories and is intended to act as a good teaching source for a class room setting. ...
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  • 2
    NsGraph is a graphic user interface for modelling and automated generation of scripts for Network Simulator.
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  • 3
    The NS-Mapper ad-hoc scenario editor is improved and extended by adding more realistic strategies, such as random based node placement, movement and traffic to the ad-hoc simulation of the Network Simulator 2 (NS-2).
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  • 4
    SNNSraster is a utility for quick ANN analysis of raster GIS maps with the use of Stuttgart Neural Network Simulator trained network files. It was developed to read and write binary raster files. SNNSraster is a project of the Geography Laboratory of the University of Siena. The code was developed by Giancarlo Macchi Jánica between 2006 and 2007. SNNSraster's fundamental objective is to improve the ability to integrate the use of artificial neural networks in GIS environments.
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  • 5
    ROOTSNNS is a set of C++ classes which allows one to use the Stuttgart Neural Network Simulator kernel (ansi-C) within the ROOT, a data analysis package. Multiple ANNs can be built, trained, and tested, while results and ANN performance can be saved.
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  • 6
    RooCARDS is a set of C++ classes written for the ROOT analysis framework which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This interface is based on a concept originally developed by Professor Yibin Pan at the UW-Madison.
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