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Universidad de Alcalá

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10.681 a 10.690 de 14.571 Resultados

Supplementary Material 2 of Chapter 6 19 may 2022 - Universidad de Alcalá Sergio Martínez-Campos Gutiérrez, 2022, "Supplementary Material 2 of Chapter 6", https://doi.org/10.5281/ZENODO.6562783 Supplementary material 2 of chapter 6 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA. Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Supplementary Material 2 of Chapter 5 19 may 2022 - Universidad de Alcalá Sergio Martínez-Campos Gutiérrez, 2022, "Supplementary Material 2 of Chapter 5", https://doi.org/10.5281/ZENODO.6563213 Supplementary material of chapter 5 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA. Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Data sets for Span-level SNR Regression in EONs 9 may 2022 - Universidad Carlos III de Madrid Farhad Arpanaei, 2022, "Data sets for Span-level SNR Regression in EONs", https://doi.org/10.5281/ZENODO.6513816 DS1: the symbol rate is fixed and equals 64 Gbaud, and the channel loading factor is selected from [25 − 100]; DS2: the symbol rate and channel occupancy status is randomly selected (uniformly distributed) from {32, 64, 96 (GBaud) and {0, 1}, respectively; DS3: both symbol rate a... Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK 6 may 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.
adjustPL.mat 6 may 2022 - Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK Datos MATLAB - 6,8 MB - MD5: 56062531de83f0bb605311da8fa392bd DataDatos
NOTadjustPL.mat 6 may 2022 - Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK Datos MATLAB - 7,0 MB - MD5: c2d32a9506e58ed4f1de9dbfb472a5df DataDatos
readme-en_Cell-free_Non-coherent_massive_SIMO_2022.txt 6 may 2022 - Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK Texto plano - 4,0 KB - MD5: 48aa94fbf1807593a9a045ef36ab7342 DocumentaciónDocumentation
SAT Instances for Testing Random Samplers Uniformity 6 may 2022 - Universidad Nacional de Educación a Distancia (UNED) Ruben Heradio; David Fernandez-Amoros, 2021, "SAT Instances for Testing Random Samplers Uniformity", https://doi.org/10.5281/ZENODO.4514918 Random SAT samples generated with the following samplers: BDDSampler KUS QuickSampler Smarch Spur Unigen2 There is a zip file per model, which is organized into the following directories: bool_formula: includes the model's Boolean encoding as a BDD (.dddmp), a CNF (.dimacs), and... Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo.
RESHAPES 5 may 2022 - Universidad Politécnica de Madrid Rodríguez Pajarón, Pablo; Hernandez Bayo, Araceli, 2021, "RESHAPES", https://doi.org/10.21950/MARE0G, e-cienciaDatos, V5 Descripción del proyecto Plataforma para la simulación probabilística de demanda eléctrica y armónicos de corriente residenciales. Probabilistic simulation platform for residential electric power demand and harmonic currents. 4. Descripción del dataset Se incluyen los scripts en...
README_RESHAPES.txt 5 may 2022 - RESHAPES Texto plano - 5,2 KB - MD5: 4d026c945f54d6d15616c6755e3a7a79

Supplementary Material 2 of Chapter 6

19 may 2022 - Universidad de Alcalá

Sergio Martínez-Campos Gutiérrez, 2022, "Supplementary Material 2 of Chapter 6", https://doi.org/10.5281/ZENODO.6562783

Supplementary material 2 of chapter 6 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA.

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Supplementary Material 2 of Chapter 5

19 may 2022 - Universidad de Alcalá

Sergio Martínez-Campos Gutiérrez, 2022, "Supplementary Material 2 of Chapter 5", https://doi.org/10.5281/ZENODO.6563213

Supplementary material of chapter 5 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA.

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Data sets for Span-level SNR Regression in EONs

9 may 2022 - Universidad Carlos III de Madrid

Farhad Arpanaei, 2022, "Data sets for Span-level SNR Regression in EONs", https://doi.org/10.5281/ZENODO.6513816

DS1: the symbol rate is fixed and equals 64 Gbaud, and the channel loading factor is selected from [25 − 100]; DS2: the symbol rate and channel occupancy status is randomly selected (uniformly distributed) from {32, 64, 96 (GBaud) and {0, 1}, respectively; DS3: both symbol rate a...

Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.

Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK

6 may 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.

adjustPL.mat

6 may 2022 - Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK

Datos MATLAB - 6,8 MB -

DataDatos

NOTadjustPL.mat

6 may 2022 - Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK

Datos MATLAB - 7,0 MB -

DataDatos

readme-en_Cell-free_Non-coherent_massive_SIMO_2022.txt

6 may 2022 - Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK

Texto plano - 4,0 KB -

DocumentaciónDocumentation

SAT Instances for Testing Random Samplers Uniformity

6 may 2022 - Universidad Nacional de Educación a Distancia (UNED)

Ruben Heradio; David Fernandez-Amoros, 2021, "SAT Instances for Testing Random Samplers Uniformity", https://doi.org/10.5281/ZENODO.4514918

Random SAT samples generated with the following samplers: BDDSampler KUS QuickSampler Smarch Spur Unigen2 There is a zip file per model, which is organized into the following directories: bool_formula: includes the model's Boolean encoding as a BDD (.dddmp), a CNF (.dimacs), and...

Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo.

RESHAPES

5 may 2022 - Universidad Politécnica de Madrid

Rodríguez Pajarón, Pablo; Hernandez Bayo, Araceli, 2021, "RESHAPES", https://doi.org/10.21950/MARE0G, e-cienciaDatos, V5

Descripción del proyecto Plataforma para la simulación probabilística de demanda eléctrica y armónicos de corriente residenciales. Probabilistic simulation platform for residential electric power demand and harmonic currents. 4. Descripción del dataset Se incluyen los scripts en...

README_RESHAPES.txt

5 may 2022 - RESHAPES

Texto plano - 5,2 KB -

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