Search Results for author:
Found 17 papers, 13 papers with code
Raster Forge: Interactive Raster Manipulation Library and GUI for Python
Raster Forge is a Python library and graphical user interface for raster data manipulation and analysis.
Data Science for Geographic Information Systems
The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms.
Text clustering with LLM embeddings
Text clustering is an important approach for organising the growing amount of digital content, helping to structure and find hidden patterns in uncategorised data.
Multispectral Indices for Wildfire Management
This paper highlights and summarizes the most important multispectral indices and associated methodologies for fire management.
Generating Multidimensional Clusters With Support Lines
Synthetic data is essential for assessing clustering techniques, complementing and extending real data, and allowing for more complete coverage of a given problem's space.
MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification
This article presents a dataset of 10, 917 news articles with hierarchical news categories collected between 1 January 2019 and 31 December 2019.
Procedural Generation of 3D Maps with Snappable Meshes
In this paper we present a technique for procedurally generating 3D maps using a set of premade meshes which snap together based on designer-specified visual constraints.
ColorShapeLinks: A board game AI competition for educators and students
ColorShapeLinks is an AI board game competition framework specially designed for students and educators in videogame development, with openness and accessibility in mind.
Generative Art with Swarm Landscapes
We present a generative swarm art project that creates 3D animations by running a Particle Swarm Optimization algorithm over synthetic landscapes produced by an objective function.
generateData—A 2D data generator
generateData is a MATLAB/Octave function for generating 2D data clusters.
Steady state particle swarm
This paper investigates the performance and scalability of a new update strategy for the particle swarm optimization (PSO) algorithm.
micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations
micompm is a MATLAB / GNU Octave port of the original micompr R package for comparing multivariate samples associated with different groups.
cf4ocl: a C framework for OpenCL
OpenCL is an open standard for parallel programming of heterogeneous compute devices, such as GPUs, CPUs, DSPs or FPGAs.
Distributed, Parallel, and Cluster Computing D.1.3; D.2.2
PerfAndPubTools – Tools for Software Performance Analysis and Publishing of Results
PerfAndPubTools consists of a set of MATLAB/Octave functions for the post-processing and analysis of software performance benchmark data and producing associated publication quality materials.
Model-independent comparison of simulation output
It is appropriate for ascertaining distributional equivalence of a model replication with its original implementation.
Other Computer Science 68U20 D.2.4; I.2.2; I.5.2; I.6.4; I.6.6
Parallelization Strategies for Spatial Agent-Based Models
Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent.
Distributed, Parallel, and Cluster Computing D.1.3; D.2.4; G.3; I.6.6
Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria
This paper proposes new clustering criteria for distinguishing Saccharomyces cerevisiae (yeast) strains using their spectrometric signature.
