Showing 42 open source projects for "data capture framework"

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  • 1
    Open Cezeri Library

    Open Cezeri Library

    Effective Linear Algebra and Computer Vision Library with JAVA

    OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-...
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  • 2
    Perl OBD-II Logger

    Perl OBD-II Logger

    A Perl program for logging OBD-II PID data

    The goal of the Perl OBD-II Logger project is to create a flexible and efficient application that can capture and log OBD-II Mode 0x01 PID data from an automotive scantool. It is designed with accurate and efficient PID data logging in mind, and provides NO support for reading or resetting diagnostic trouble codes. By default, the output log file contains time-stamped PID values in a simple Comma Separated Values (CSV) format that can be readily imported into popular data analysis or spreadsheet applications. ...
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  • 3

    chipexo

    model based analysis of ChIP-exo data

    Here we developed a novel analysis framework named MACE (model-based analysis of ChIP-exo) dedicated to ChIP-exo data analysis. MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm.
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  • 4

    ckon

    automatic build tool for ROOT data analysis software

    ckon is a C++ program/tool which automatically takes care of compilation, dictionary generation and linking of programs and libraries developed for data analyses within the CERN ROOT analysis framework. This includes parsing include headers to figure out which libraries the main programs need to be linked to. It uses automake/autoconf to be platform independent and GNU install compliant. In addition, m4 macros are automatically downloaded and the according compiler flags included based on a list of boost libraries provided in the config file.
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  • 5
    Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.
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  • 6
    Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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  • 7

    MolBioLib

    C++11 framework for rapid develop and deploy of bioinformatic tasks.

    MolBioLib is a compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. MolBioLib is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. ...
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  • 8

    PL-DAS

    Port Logistics Data Analysis System using Process Mining

    This project is for analyzing operational data from container terminal, applying process mining and port logistics domain knowledge. This project is found by Total Soft Bank, Ltd. and Busan National University, based on ProM framework (http://www.promtools.org) which is also an open source project. This project is sponsored by NIPA (National IT Industry Promotion Agency), Korea.
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  • 9

    ROOTlib

    C++ lib, that provides access to multiple ROOT routines (root.cern.ch)

    This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python.
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  • 10
    A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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  • 11
    IDA intelligence data analytics is an application framework for analysing intelligence data using php and javascript web application frameworks. The PHP framework is based on KohanaPHP and the Javascript framework is based on JQuery.
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  • 12
    Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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  • 13
    EDAS2 is a web-based environmental quality data management and decision support framework
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  • 14
    Comprehensive device automation and data analysis framework
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  • 15
    ModuleFair is a generic, module-based framework upon which to quickly build anything from data analysis programs to game level editors. This project is no longer maintained.
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  • 16
    MathROOT is a tool for high-energy physicists to access the ROOT data analysis framework from within Mathematica
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  • 17
    A framework for image analysis and data analysis, aimed towards microscopy and the needs of current research.
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