Showing 3 open source projects for "machine learning"

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    HR Outsourcing Built for Small and Midsize Businesses

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  • Non Emergency Medical Transportation (NEMT) Software Icon
    Non Emergency Medical Transportation (NEMT) Software

    Healthcare providers in search of a scheduling and dispatch solution for non emergency medical transportation

    NovusMED is an ecosystem that includes call center, administrative, driver applications, and client/clinic booking applications. NovusMED is the platform of choice for a wide range of medical transportation services and includes configurations for brokerage, providers, senior, community, and home health programs. Accurately manage calls and patient information. Monitor real-time performance and adjust resource capacity to meet changes in service demand. Manage will calls, confirmation calls, and recurring trips/standing orders in real time. Improved mileage reimbursement and cost calculators to manage multiple contractors, funding sources (payors), multiple providers, and volunteer driver programs. Enhanced credential management for vehicles and drivers. Manage subcontractor outsourcing with provider mobile, trip bidding, and trip offers. Able to see the closest vehicle and perform immediate bookings.
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  • 1

    Virtual Botmaster

    Simulate Botnet NetFlow traffic for research analysis

    Simulate Botnet NetFlow traffic for research analysis
    Downloads: 0 This Week
    Last Update:
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  • 2

    Botnet Detectors Comparer

    Compares botnet detection methods

    Compares botnet detection methods by computing the error metrics by reading the labels on a NetFlow file. The original NetFlow should have a new column for the ground-truth label, and a new column with the prediction label for each botnet detection method. This program computes all the error metrics (TPR, TNR, FPR, FNR, Precision, Accuracy, ErrorRate, FMeasure1, FMeasure2, FMeasure0.5) and output the comparison results. It also ouputs a png plot. The program can compare in a...
    Downloads: 0 This Week
    Last Update:
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  • 3
    A packet dissector driven by machine learning algorithms. You train it to recognize specific types of packets by showing it examples and counterexamples of some packet type, and it will figure out which bits in the packet define it as the type you seek.
    Downloads: 1 This Week
    Last Update:
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