6,351 to 6,360 of 7,267 Results
May 6, 2022 - Grupo de Comunicaciones (GCOM)
López Morales, Manuel José, 2022, "Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK", https://doi.org/10.21950/GVJZDL, e-cienciaDatos, V1
This project aims at investigating the performance capabilities and complexity of Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK, for different access points selection techniques. |
Datos MATLAB - 6,8 MB -
MD5: 56062531de83f0bb605311da8fa392bd
|
Datos MATLAB - 7,0 MB -
MD5: c2d32a9506e58ed4f1de9dbfb472a5df
|
Texto plano - 4,0 KB -
MD5: 48aa94fbf1807593a9a045ef36ab7342
|
Apr 12, 2022
Anderson, D. Mark; Charles, Kerwin; McKelligott, Michael; Rees, Daniel, 2026, "Data and Code for: Estimating the Effects of Milk Inspections on Infant and Child Mortality, 1880-1910", https://doi.org/10.3886/E159341
In the mid-19th century, the urban milk supply in the United States was regularly skimmed or diluted with water, reducing its nutritional value. At the urging of public health experts, cities across the country hired milk inspectors, who were tasked with collecting and analyzing milk samples with the goal of preventing adulteration and skimming. Us...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Apr 11, 2022
Kukić, Leonard, 2026, "Socialist growth revisited: Insights from Yugoslavia", https://doi.org/10.3886/E167382
This file contains data that can be used to replicate the figures and tables reported in the main text of "Socialist growth revisited: Insights from Yugoslavia".Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Mar 31, 2022
Davide Maddaloni; Adrián Domínguez Vázquez; Filippo Terragni; Mario Merino, 2026, "Data from: Data-driven analysis of oscillations in Hall thruster simulations", https://doi.org/10.5281/ZENODO.6390700
Data from: Data-driven analysis of oscillations in Hall thruster simulations - Authors: Davide Maddaloni, Adrián Domínguez Vázquez, Filippo Terragni, Mario Merino - Contact email: dmaddalo@ing.uc3m.es - Date: 2022-03-24 - Keywords: higher order dynamic mode decomposition, hall effect thruster, breathing mode, ion transit time, data-driven analysis...Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Mar 26, 2022
Russo, Luana; Riera, Pedro; Verthé, Tom, 2026, "Replication Data for: Tracing the electorate of the Movimento Cinque Stelle: An ecological inference analysis", https://doi.org/10.7910/DVN/20IR0P
Italian Parliamentary elections 2008 and 2013 Source: Ministero dell’Interno – Dipartimento degli Affari Interni e Territoriali – Servizi ElettoraliDataset recolectado desde Dataverse con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Mar 24, 2022
Mario Merino; Judit Nuez; Eduardo Ahedo, 2021, "Data from: Fluid-kinetic model of a propulsive magnetic nozzle", https://doi.org/10.5281/ZENODO.5557591
# Data from: Fluid-kinetic model of a propulsive magnetic nozzle - Authors: Mario Merino, Judit Nuez, Eduardo Ahedo - Contact email: mario.merino@uc3m.es - Date: 2021-10-08 - Keywords: magnetic nozzle, plasma propulsion, electrodeless plasma thrusters, kinetic model, collisionless electron cooling, magnetic thrust - Version: 1.0.0 - Digital Object...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Feb 28, 2022
Raul Fernandez-Fernandez; Marco Aggravi; Juan G. Victores; Paolo Robuffo Giordano; Claudio Pacchierotti, 2021, "Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)", https://doi.org/10.5281/ZENODO.5718542
Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) dataset. The research leading to these results has received funding from: RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU; ROBOASSET, ”Sistemas robótic...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
