Search Results for "spatial" - Page 7
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Showing 279 open source projects for "spatial"
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MIMO OFDM
MATLAB implementation source code accompanying the book MIMO-OFDM
This repository contains the MATLAB implementation source code accompanying the book “MIMO-OFDM 无线通信技术及 MATLAB 实现” (MIMO-OFDM Wireless Communication Technology and MATLAB Implementation). The repository is structured to match chapters in the book, providing code for topics such as OFDM basics, MIMO channel models, channel estimation, PAPR, spatial multiplexing, diversity techniques, etc. It helps readers replicate examples in the textbook and test MATLAB simulations of wireless communication schemes. Spatial multiplexing and diversity schemes. MIMO channel modeling and simulation. Spatial multiplexing and diversity schemes. -
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gvSIG CE (Community Edition)
The full-featured, easy-to-use desktop GIS with real processing power!
The Community Edition (gvSIG CE) is a fork of the gvSIG desktop GIS project (http://www.gvsig.org). It is open to external contributors and fully community-driven. Our official releases are designed to be portable and include all necessary binaries for Linux, Mac OS X and Windows. No installation necessary: Just download, unpack and run! -
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Ardb
A redis protocol compatible nosql, it support multiple storage engines
...RocksDB, LevelDB, LMDB, WiredTiger, PerconaFT, ForestDB. Multi data structure types supported, String, List, Set, Sorted Set, Hash, Bitmap(String), HyperLogLog(String), 2D Spatial Index(Sorted Set), Stream. Replication compatible with Redis 2.6/2.8. Ardb instance work as slave of Redis 2.6/2.8+ instance. Arab instance work as master of Redis 2.6/2.8+ instance. Ardb instance work as slave of Ardb instance. Auto failover support by redis-sentinel. Lua Scripting support. Pub/Sub. All redis pubsub commands are supported. ... -
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FastPhotoStyle
Style transfer, deep learning, feature transform
FastPhotoStyle is a deep learning-based image stylization framework designed to transfer the style of one photograph onto another while preserving photorealistic quality. Unlike traditional artistic style transfer methods that produce painterly outputs, this approach focuses on maintaining realistic textures, lighting, and spatial consistency. The method is based on a two-step process that includes a stylization phase followed by a smoothing operation, ensuring that the output image remains coherent and free of visual artifacts. It is computationally efficient due to its closed-form solution, allowing fast processing compared to iterative optimization-based methods. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Grid data and perform Spatial, Fractal, Network analysis and simulation.
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TOFSIMS
R/Bioconductor toolkit for mass spectrometry data
The tofsims project is an R/Bioconductor toolkit designed for processing, analyzing, and visualizing imaging mass spectrometry data from Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) instruments. It supports importing raw and preprocessed data from popular instrument platforms (e.g. IONTOF, Ulvac-Phi) and provides methods for mass calibration, peak picking, and peak integration. The package allows transformation of spectra into 2D image structures (mass images), with operations... -
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ForestMTIS is a OnCloud computing compiled and editable project and open source code to generated forest simulators. It was developed to forest growth and yield models that are empirical, non-spatial, deterministic, disaggregated, single species even-aged stand models. This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 613762
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Five video classification methods
Code that accompanies my blog post outlining five video classification
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time, and a whole whack load of hyperparameters we don’t have to worry about. ... -
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Robotics Library
C++ framework for robot kinematics, dynamics, motion planning, control
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. It covers spatial vector algebra, multibody systems, hardware abstraction, path planning, collision detection, and visualization. -
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EDCC-CNG
Exploration and categorization of CREs and CRMs
Cis-regulatory elements (CREs) and cis-regulatory modules (CRMs) play an important role in temporal and spatial regulation of gene expression, which is a common process in eukaryotic organisms. We developed two programs that serve as exploratory tools in the analysis of CRM-mediated control of gene expression: “Exploration of Distinctive CREs and CRMs” (EDCC) and “CRM Network Generator” (CNG). EDCC correlates the presence and positions of CREs/CRMs with gene expression data and identifies candidate regulatory elements for further functional analysis. ... -
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Lip Reading
Cross Audio-Visual Recognition using 3D Architectures
The input pipeline must be prepared by the users. This code is aimed to provide the implementation for Coupled 3D Convolutional Neural Networks for audio-visual matching. Lip-reading can be a specific application for this work. Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multi-speaker scenarios. The approach of AVR systems is to leverage the... -
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SPAWNN
SPatial Analysis With self-organizing Neural Networks
The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. -
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autoFRK
Automatic Fixed Rank Kriging
An R package 'autoFRK' performs fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. ... -
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Hotellings' Project
The software allows to define and publish delocalized commodity Hubs
Commodity Hubs are usually small areas, where the delivery of a trading standard has to take place. An example is the WTI crude oil contract (to be delivered in Cushing/Oklahoma). But the concept can be generalized to wide spatial areas, if the ratio of transport costs to varioius areas from the source of the commodity is stable. It requires then, that the trading standard contract defines these ratios and that the price of the commoditiy depends where it is finally delivered. The following software allows to keep track of all possible delivery sites (database) and display them anonymized in circles on a published map. ... -
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ImagingAnalysis
Direct tissue-level image quantification package for Mathematica
ImagingAnalysis is a Mathematica package that performs grid-based analysis of time-lapse imaging data saved in a sequence of TIFF files. This package requires Mathematica 7.0. Revised on 14 May 2017: Bugs are fixed and incompatibility issues are resolved. The current version runs on Mathematica 11. -
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Spatial C++ Library
Library of generic, k-d tree multi-dimensional containers
Spatial is a generic header-only C++ library providing multi-dimensional in-memory containers, iterators and functionals. Spatial is a general purpose library with good overall performance thanks to its self-balancing k-d tree containers. Spatial makes it easy to search for nearest neighbors, orthogonal ranges, or perform ordering of objects in any number of dimensions. -
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GeoGig
Distributed Version Control System for Geospatial data
Welcome to the GeoGig project, exploring the use of distributed management of spatial data. GeoGig draws inspiration from Git, but adapts its core concepts to handle versioning of geospatial data. Users are able to import raw geospatial data (currently from Shapefiles, PostGIS or SpatiaLite) in to a repository where every change to the data is tracked. These changes can be viewed in a history, reverted to older versions, branched in to sandboxed areas, merged back in, and pushed to remote repositories. -
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tsp-problem-ga-aco-comparisson
Genetic Algorithm and Ant Colony to solve the TSP problem
This project compares the classical implementation of Genetic Algorithm and Ant Colony Optimization, to solve a TSP problem. It's possible to define the number of cities to visit , and also interactively create new cities to visit in a 2D spatial panel. A total distance is given for AG and ACO solution at end. -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also... -
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Logi (Local Observations to Global Integration) transforms several local coordinate systems (composed of polar measurements) into a global spatial uniform network with respect to the Guide to the Expression of Uncertainty in Measurement (GUM).
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...This code is performed to get results for our paper: Tran Manh Tuan, Le Hoang Son, "Dental segmentation from X-ray images using semi-supervised fuzzy clustering with spatial constraints", submitted
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sonomode
Spatial model of opinion dynamics (replication of Deffuant2006)
The model is an replicated and extended version of the opinion dynamics model of Deffuant et. al. 2006. It is implemented using Repast Simphony and applied the MORe library to generate and analyse the social network. -
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siccom
Spatial Interaction in Coral Reef Communities
The program allows the simulation of spatial dynamics in a benthic coral reef community under various environmental settings. Several coral species, with either massive or branching colony growth morphologies are implemented as individual colonies, which compete for space with each other as well as with macroalgae and algal turf. For more details on the first version of the program see also: Kubicek A, Muhando C, Reuter H (2012) Simulations of Long-Term Community Dynamics in Coral Reefs - How Perturbations Shape Trajectories. ... -
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hSDM
R package for hierarchical species distribution models
...Such models allows interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results. -
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BPL
Bayesian Program Learning model for one-shot learning
BPL (Bayesian Program Learning) is a MATLAB implementation of the Bayesian Program Learning framework for one-shot concept learning (especially on handwritten characters). The approach treats each concept (e.g. a character) as being generated by a probabilistic program (motor primitives, strokes, spatial relationships), and inference proceeds by fitting those generative programs to a single example, generalizing to new examples, and generating new exemplars. The repository contains code for parsing stroke sequences, fitting motor programs, exemplar generation, classification, re-fitting, and demonstration scripts.
