Search Results for "data collection algorithm" - Page 36
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Showing 1337 open source projects for "data collection algorithm"
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The G(arbage) C(ollected) X(Query) engine is the first streaming XQuery engine that implements active garbage collection, a novel buffer management strategy in which both static and dynamic analysis are exploited.
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ThermV
Comprehensive thermal analysis software package
ThermV thermal analysis software package aims to provide the most sophisticated automatic analysis of thermal analysis data (TG/DTG, DTA and DSC). It offers new algorithm for concurrent peak deconvolution at different heating rates and provides full kinetic analysis of these data, including isoconversional methods for Ea, determination of reaction model and full kinetic triplet, Avrami coefficients, and dimensionality of crystal growth for reactions in the solid state. ... -
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FTF Library - C# / WPF
Flexible Tagged Format Library - C# / WPF version
Flexible Tagged Format (FTF) is a completely flexible storage format using human readable tags, and potentially support storing any type of data. This is the C# / WPF version. -
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Flexible Tagged Format (FTF) Library
Flexible Tagged Format (FTF) Library
Flexible Tagged Format (FTF) is a completely flexible storage format using human readable tags, and potentially support storing any type of data. -
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AeroDataBase
Aircraft aerodynamic database
A collection of aerodynamic data in HDF format. The data is used in the semiempirical models of aircraft aerodynamic coefficients. Reference: Aircraft Dynamics: From Modeling to Simulation Marcello R. Napolitano, Wiley, 2012. http://eu.wiley.com/WileyCDA/WileyTitle/productCd-EHEP002021.html -
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MatPicarro
Load and manipulate Picarro data files with Matlab or GNU Octave
A collection of m-files to load and manipulate Picarro data files with Matlab or GNU Octave. -
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QuazarCoin (QCN) is a new cryptocurrency based on the CryptoNote and uses the CryptoNight algorithm. QuazarCoin protects your data and privacy with help of completely anonymous transactions with ring signatures.
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Algorithms & Data Structures in C++
Algorithms & Data structures in C++
An algorithm is represented by a .h file and placed under include. (one .header file per algorithm.) The demo program for the algorithm demonstration is placed under src. (one demo per algorithm.) After the program passes correctly, please initiate Pull Requests, the code is verified and stored in the library, and the new algorithm implementation is published in the README. TAB = 4 space. set ts=4 in vim. Graph output format is Graphviz Dot format. (the output format of the graph is in dot... -
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btrxml
Basic, Tiny, Reader for XML
A very basic, portable, tiny parser for XML, written in C under the zlib license. It is designed to be used in memory constrained environments (smartphones for example). The end result will be a "DOM-like" collection of memory. A lot of things were chopped away to deliver the very basic support for XML, and this project does not aim to become a fully compliant parser; keep it basic, stay basic. Part of the design goal is to jam all of this in to one .C file and one .H file while... -
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MITSU
Stochastic EM for transcription factor binding site motif discovery
...MITSU also has the ability to automatically determine the most likely motif width by incorporating an information-based heuristic known as MCOIN. In tests on realistic synthetic and previously characterised prokaryotic data, MITSU has been shown to outperform an EM-based algorithm and previous sEM-based implementations. MITSU is described in more detail in our paper: A. M. Kilpatrick, B. Ward & S. Aitken, Stochastic EM-based TFBS motif discovery with MITSU Bioinformatics, 30(12):i310-i318, 2014 -
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A collection of code, bundled into a single R package, to perform several aspects of data management, image pre-processing, data analysis and statistical inference related to the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI).
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Ezys
Ezys 3D medical image registration program
Ezys is a non-linear 3D medical image registration program. Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a... -
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Immutable Collections for Java
Immutable/Persistent Collections Library
...A utility class provides functional style algorithmic processing of Cursors including foldLeft, foldRight, collect, select, and reject. The 2-3 tree and integer trie classes are optimized for performance and can be used alongside java.util Collections when immutability is needed for safe data sharing. -
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fastupload
The fastest form-based file upload java programming component
The component is based on RFC1867, written for java and j2ee development zone. It uses high performance byte-search algorithm to parse the submitted request, afterward save data into the file system. also, it provides a smart resolution to resolve the encoding issue for uploading text file. -
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FamSeq
Variant calling on the basis of pedigree information
...FamSeq serves this purpose by providing the probability of an individual carrying a variant given his/her entire family’s raw measurements. FamSeq accommodates de novo mutations and can perform variant calling at chromosome X. To accommodate variations in data complexity, FamSeq consists of three distinct implementations of the Mendelian genetic model: the Bayesian network algorithm, Elston-Stewart algorithm and Markov chain Monte Carlo algorithm. To make the software efficient and applicable to large families, we parallelized the Bayesian network algorithm that copes with pedigrees with inbreeding loops without losing calculation precision on an NVIDIA® graphics processing unit. -
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GenomicVis
Genomic data visualisation
GenomicVis is a R package that contains a collection of function for the visualisation of genomic data typically derived from high-throughput whole genome sequencing and SNP-Chip experiments. Most of the functions provided by this package are agnostic about where the data actually comes from, that is, they required input in simple data.frame instances that are not tied to a particular file format; however, we also provide many examples of creating these simply data.frames from standard file formats such as VCFs and from common software tools such as GAP and Breakdancer -
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Iris Classifier
The classifier for iris flowers (data mining)
This implements KNN algorithm. -
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...The program aims to characterize and quantify the composition, the abundance and the evolutionary history of the underlying viral population within a given host by analyzing Next Generation Sequencing data. ViralNet takes as input the collection of reads (or several collections of reads in case of many data samples or daily data) and the reference genome and it constructs the evolutionary network exhibiting the species abundance profile and the list of haplotypes along with their prevalence.
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OpenNumismat
Coin collecting software for organize and manage your own catalogue
This project has been migrated to github - please visit http://opennumismat.github.io OpenNumismat is a handy and reliable application aimed at coin lovers, numismatists or amateurs looking to create a numismatics collection. With OpenNumismat, you will be able to create, organize and manage your own coin catalogue with detailed description and photos for each of the items. -
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PHP Voucher
PHP Voucher Manager
PHP Voucher is a simple manager to create, check and execute unique vouchers. It works without SQL database. The generated codes are encrypted with MD5 algorithm and saved in data files (*.dat). Executed vouchers are registered and cannot be used again. Generating codes: makecode.php Checking codes: checkvoucher.php Configuration: config.php Style: main.css -
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Coulson Plot Generator
Graphics generator for pie diagram matrix from spreadsheets
For comparative plus/minus spreadsheet data, Coulson Plot Generator application creates a multiple pie diagram, for a rapid visual comparison of subunit occupancy across a range of entities. Numbers of pies, segments, labels and colours are customisable. Creates an editable PDF from a comma separated text file. Now with zoom capability and more memory, for larger datasets. Save images in several formats including SVG. -
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SafePassDB
Protect your personal data with SafePassDB.
...Current version of the software uses 128 bit AES (Advanced Encryption Standard) algorithm, which is a standard by U.S. National Institute of Standards and Technology (NIST), for protecting your personal data. IMPORTANT: In order to run SafePassDB you need to have Java installed on your computer. Java is free and can be downloaded from - http://www.java.com/ -
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HMM-FRAME
Frameshift detection and correction for next-generation sequences
HMM-FRAME is designed to accurately locate and correct frameshift errors in next-generation sequencing (NGS) data using an augmented Viterbi algorithm on profile hidden Markov models (profile HMMs). By correcting the frameshift errors, it can classify more NGS sequences into their native protein domain families. -
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SpriteBuncher
A free, open-source texture packing program.
SpriteBuncher is a free, open-source texture packing program. It features an easy-to-use graphical interface, and advanced packing algorithms such as MaxRects. Further options include cropping, rotation, extruding, and padding. Data can be exported to a range of common output formats – e.g. Cocos2d, LibGDX, and Unity – or via generic XML, JSON, and plain text files. Examples and documentation are included. Source code available at: https://github.com/bazgt/SpriteBuncher [GPLv3]. -
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide...