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Resco toolkit for building mobile apps
A no-code toolkit for building responsive and resilient mobile business applications for Microsoft Power Platform, Dynamics 365, Dataverse and Salesfo
Deploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.
Discontinuity Set Extractor (DSE) is programmed by Adrián Riquelme for testing part of his PdD studies. Its aim is to extract discontinuity sets from a rock mass. The input data is a 3D point cloud, which can be acquired by means of a 3D laser scanner (LiDAR or TLS), digital photogrammetry techniques (such as SfM) or synthetic data. It applies a proposed methodology to semi-automatically identify points members of an unorganised 3D point cloud that are arranged in 3D space by planes.
Seqs Extractor is a useful tool, and can reduce ambiguities in analyses which uses BLAST command ine, commonly in the next generation sequencing, Transcriptomics, Proteomics, etc and help extract BLASTed sequences and sequences that contains microsatellites.
Seqs Extrator also turns the BLAST command line more friendly.
This project contain application to extract images from arch.H format used by Asteroid Data Hunter, and also compiled releases of updated versions of Asteroid Data Hunter itself.
Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
Ecommerce and omnichannel brands seeking scalable fulfillment solutions that integrate with popular sales channels
Flowspace delivers fulfillment excellence by pairing powerful software and on-the-ground logistics know-how. Our platform provides automation, real-time control, and reliability beyond traditional 3PL capabilities—so you can scale smarter, faster, and easier.
The National Library of New Zealand's Metadata Extraction Tool automatically extracts preservation-related metadata from digital files, then output that metadata in XML formats. It can be used through a graphical user interface or command-line interface.
Please take the latest code from 'https://github.com/DIA-NZ/Metadata-Extraction-Tool.git'. The code on source forge will not be updated henceforth as it is moved to github.
The Parenthesis Classifier takes the contents of a set of parentheses and classifies it into one of several categories. It includes a parenthesized-data extractor and the classifier.
This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
The aim of MIEX (Metadata and Information Extractor from small XML documents) is to create a wrapper for the Stanford Parser, to extract and store metadata (syntactic structures, relationships among words...) from simple XML documents.
OpenMetal is an automated bare metal and on-demand private cloud provider.
Large Scale. Cloud Native. Fixed Costs.
OpenMetal is an automated bare metal and on-demand private cloud provider. Our mission is to empower your team with cost effective private infrastructure that outperforms traditional public cloud.
Feature extraction toolkit based on a wavelet multiscale
vision model. Includes 1D signal processing sample application for line
identification and classification of astronomical spectra.
DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.
Danaides stores meta-data from biological banks in a graph databases as well as OBO formatted ontologies.
It also provides a web query interface to parse ontologies or extract nodes based on ontology requirements.
Example: Get all known elements that are in family of Fish (species ontology) AND a RNA (sequence ontology).