Search Results for "automatic"

Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types.

...Elasticsearch Bundle was created in order to serve the need for professional Elasticsearch integration with enterprise level Symfony 2 systems. Automatically generate mappings using a serializer. Listeners for Doctrine events for automatic indexing.

...Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.

An easy to use Java program that allows you to digitize data points off of scanned plots, scaled drawings, or orthographic photographs. Includes an automatic digitization feature that can automatically digitize many types of functional data.

A graphical user interface to import, analyze and export plots from orthomosaic images of agronomic trials. Please cite the following reference in your work if you use Phenalysis: Khan Z and Miklavcic SJ (2019) An Automatic Field Plot Extraction Method From Aerial Orthomosaic Images. Front. Plant Sci. 10:683. doi: https://doi.org/10.3389/fpls.2019.00683 This tool is being developed through the sponsorship of the Australian Research Council's Industrial Transformation Research Hub on Wheat in a Hot and Dry Climate. https://www.wheathub.com.au/

Canvas-2DGC is a user-extensible, Freemat based 1DGC and comprehensive 2DGC (GCxGC) data visualization and processing software. GCxGC-MS data analysis is supported for Agilent GCMS data format. The first goal of this project is to provide a highly intelligent analytical tool for reducing a complex chromatographic data analysis, either 1D or 2D, to just a few simple and intuitive steps. The second goal is to provide a fast and practical way of customizing or extending functionalities...

...Google Analytics, Kissmetrics, Mixpanel, Flurry, Piwik, Segment.io and more are supported out of the box. Just add Angulartics to your app dependencies and you'll get automatic pageview tracking for your application routes. Download Angulartics and the Angulartics plugin for your vendor. Note: All plugins list Angulartics as a dependency, so they will be downloaded together. Load the relevant files in your applications html (or include them in your build script). In your application dependencies, inject Angulartics and the Angulartics plugin for your vendor. ...

...Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc); -- Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts). DRAMMS runs in command line in UNIX/Mac OS, It accepts Nifti/ANALYZE/MetaImage image formats. It is fully-automatic --- takes two input images, and generates a registered image and (optionally) the deformation field. More information (installation, tutorial, manual, demonstration, FAQ, etc) can be found at http://www.rad.upenn.edu/sbia/software/dramms/ .

OMR Reader is an application to read data from scanned images of OMR sheets. You can first create a template for a particular form and save it as a .omr file. To create a template, use a form with all filled marks. The program will automatically detect the marks. Now choose the marks for a group, and name the group. Do this for all the option groups on the form. Now save the info of these groups in a .omr file. For different forms, you can have different .omr files. These files can later be...

CapCode is a navigation software for sailors for cruising or regatta. - Reads NMEA 183 data (instruments, GPS, AIS). Implements computation of the VMG , tracing on RNC and ENC (S-57) charts. Display the polar on the chart, future position of the ship. Weather information acquired from grib files are also displayed in the navigation view. developed as an Eclipse RCP in its versions 2.x.x

This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 (

Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques

SIDoBI is an automatic summarization system for documents in Indonesian language. It is an acronym for Sistem Ikhtisar Dokumen untuk Bahasa Indonesia. SIDoBI is built based on MEAD, a public domain portable multi-document summarization system.

This is a MATLAB toolbox for the quality control and scoring of EMAP and SGA genetic interaction data. It includes a graphical user interface and some automatic plot-generating tools.

Methods and testing of methods for automatic analysis of in situ cyclic voltammetry data. This, at least initially, is the code from my masters thesis, which was done as a contribution to a larger project called Aevum. Aevum is being developed at t

QtStock allows to do fundamental analysis of companies and companies shares according to the National Association of Investors Corporation (NAIC). It is completely written in C++ with Qt.

Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.

A real-time graph plotter. While your application is computing and logging results to a CSV file using the LiveGraph Writer API, the plotter lets you visualise and monitor the results live - by instantly plotting charts and graphs of the data.

This is a suite of several software agents to provide a complete architecture of lexical base as proposed in Didier Schwab's PhD. thesis. It will be used for automatic translation, information retrieval and other natural language processing tasks.

Automatic and Intelligent Object Finder

The Semantic Web Service Composer is a prototyp for semi-automatic data flow design between Semantic Web services described in different domain ontologies. More info: http://citeseer.ist.psu.edu/viewdoc/versions?doi=10.1.1.60.9276

A PHP based software for automatic dossier preparation of Wikipedia content. Retrieves Wikipedia content, determines its relevance to a given subject and compiles selected material into a PDF dossier.

WordFreak is a java-based linguistic annotation tool designed to support human, and automatic annotation of linguistic data as well as employ active-learning for human correction of automatically annotated data.

The TreeQ package is a set of C-language applications that implement a automatic machine learning algorithm based on a tree-structured classifier. This approach is particularly effective for high-dimensional continuous data such as audio and video.

JUDGE (Java Utility for Document Genre Eduction) features automatic classification and clustering of documents, optionally as a webservice. The program is written entirely in Java and makes use of the Weka machine learning toolkit.