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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,080 datasets
A paper and associated resources on paperswithcode describe a method for lossless image compression. The work is published by Iosr Journals under an Open Access (green) license. Specific details on dataset size, format, and sample data are not provided in the available metadata.
A paper and associated code likely presenting a numerical method for solving first-order ordinary differential equations. The work is published on Papers with Code by IOSR Journals under an Open Access license. The specific data content, such as numerical results or coefficients, is not detailed in the available metadata.
Iosr Journals published a paper on enhancing pupils' knowledge of mathematical concepts through game and poem. The dataset likely contains materials or results related to this educational intervention. Metadata is minimal; the actual content and structure require verification after download.
Research artifacts for the Neural Autoregressive Flow Bayesian Model Averaging (NAF-BMA) method, a variational inference framework for scalable Bayesian model averaging. The work, authored by Jiefu Zhou, was published in April 2026 and includes simulation and real-data studies demonstrating the method's performance against MCMC and VBMA benchmarks.
A paper from Iosr Journals, published on the Paperswithcode platform. The title suggests a focus on data mining techniques for large-scale datasets using the Map-Reduce programming model. The paper is licensed as Open Access (green).
Sergio Valdivia authored a paper detailing results from applying clustering-based binarization methods to the crow search algorithm for solving 0-1 combinatorial problems. The work likely contains experimental results and performance comparisons for these metaheuristic techniques. The paper is published on Papers with Code under an Open Access (green) license.
469 monthly observations of Brent crude oil priced in Indian rupees from May 1987 to May 2026, constructed from public FRED series. The deposit contains replication data and results for a working paper comparing statistical and machine-learning forecast models, including forecast-accuracy metrics, Diebold-Mariano test results, and XGBoost feature-importance output. It was authored by Adesh Mishra and released on Harvard Dataverse in 2026 under a CC BY 4.0 license.
Parametric optimization data for a compression ignition engine using a diesel-sesame oil blend. The dataset is associated with a paper published by IOSR Journals and sourced from Papers with Code. Its specific parameters, scale, and collection date are not detailed in the available metadata.
Parametric optimization data from a single-cylinder compression ignition engine study. The dataset likely contains experimental parameters and results related to specific fuel consumption using a mahua oil blend. It originates from a paper published by IOSR Journals on the Papers with Code platform under an Open Access license.
Material Optimization and Weight Reduction of Universal Joint Yoke Using Composite Material is a dataset from paperswithcode. It likely contains data related to the analysis and optimization of a mechanical component, focusing on material properties and weight reduction. The dataset is associated with a paper published by Iosr Journals under an Open Access license.
A 5.5 KB Excel file containing Monte Carlo standard errors for mean empirical standard errors of statistical methods, authored by Simon Turner. The dataset was last updated on May 13, 2026, and is shared under a CC-BY-4.0 license on figshare.
A structure–function relationship study by Taeju Park, last updated in 2026, designed peptides with higher binding affinities to Crk and CrkL SH2 domains. The dataset includes results from saturation transfer difference NMR, fluorescence polarization, and FP competition assays. It demonstrates that substituting amino acids at specific positions improves the binding affinity of YXXP motif-containing peptides.
A paper-associated dataset from paperswithcode, authored by Iosr Journals. The title suggests it relates to the optimization of robotic manipulator designs using a modified immune genetic algorithm. Metadata is minimal; actual data content and structure require verification after download.
A paper published on paperswithcode by Iosr Journals investigates the performance of dynamic and domino logic Carry Look Ahead Adders. The research likely contains simulation data comparing adder designs implemented with Carbon Nanotube Field-Effect Transistors at the 32-nanometer technology node. Specific data points such as delay, power consumption, or area metrics may be included, but the exact content requires verification after download.
A dataset likely containing results from computational studies of sodium atoms on copper nanoclusters. The data appears to be associated with a paper published by IOSR Journals and hosted on Papers with Code. The specific variables, data volume, and creation date are not detailed in the available metadata.
A dataset likely related to optimizing the radiation pattern of a phased array antenna using Particle Swarm Optimization. The data was published by IOSR Journals on the Papers with Code platform. The specific content, scale, and structure require verification after download.
Supplementary material for a 2015 paper on model-based multi-objective optimization, authored by Bernd Bischl. The content likely includes extra results and code related to the paper's taxonomy, multi-point proposal, toolbox, and benchmark. The dataset is published on the Papers with Code platform under an Open Access (green) license.
Iosr Journals published a paper on paperswithcode detailing the optimization of the Okumura Hata propagation model for 800MHz frequencies using a Newton Second Order algorithm. The work is a case study focused on the city of Yaounde, Cameroon. The dataset likely contains parameters, measurements, or simulation results related to this optimization process.
A dataset likely containing performance metrics for Indian non-life insurance firms, used for efficiency analysis. The data is associated with a paper published by IOSR Journals and sourced from the Papers with Code platform. The specific time period and number of firms covered are unknown from the provided metadata.
Data used in statistical analyses, published on paperswithcode. The dataset is authored by Christopher J. Mayerl and is available under an Open Access (green) license. Specific details regarding size, format, and update date are not provided in the metadata.