Universidad Nacional de Educación a Distancia (UNED)

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471 a 480 de 623 Resultados

PROLEC-SE-R and PROLEXIA data.csv 18 mar 2024 - A case study of developmental dyslexia in secondary school: a four-year follow-up Valores separados por comas - 2,6 KB - MD5: 35b9b7c5f3d72eabaa94722684d789fa Datos Microsoft Excel, Version 16.66.1 (22101101) was used to collect data from PROLEC-SE-R and PROLEXIA.This Excel file was saved as PROLEC-SE-R and PROLEXIA data in .csv format.
readme-en.txt 18 mar 2024 - A case study of developmental dyslexia in secondary school: a four-year follow-up Texto plano - 5,5 KB - MD5: 2ca555442b9c076787c2025bc4cb7aa4 Documentación
Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment 14 mar 2024 Severino Fernández Galán, 2024, "Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment", https://doi.org/10.21950/95H81E, e-cienciaDatos, V1 The problem of pedestrian evacuation can be addressed through cellular automata incorporating a floor field that indicates promising movements to pedestrians. The two main types of floor field are the static, which represents the shortest path from each cell to an exit (and is us...
FastEvacuationMethod.nlogo 14 mar 2024 - Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment Desconocido - 45,3 KB - MD5: 2406166c9e4c842ca460089e39a34839 Código NetLogo model
readme-en.txt 14 mar 2024 - Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment Texto plano - 3,9 KB - MD5: 21044381e8140eb905e5eba847e7e2b4 Documentación
readme.txt 14 mar 2024 - Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment Texto plano - 198 B - MD5: 8b81ad38ee83b3fb513372c59da4eece Documentación How to freely download NetLogo in order to execute the model FastEvacuationMethod.nlogo
Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering 6 mar 2024 Severino Fernández Galán, 2024, "Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering", https://doi.org/10.21950/5C1AEZ, e-cienciaDatos, V1 Clustering is a technique that allows data to be organized into groups of similar objects. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) constitutes a popular clustering algorithm that relies on a density-based notion of cluster and is designed to discover...
DBSCAN-variants.nlogo 6 mar 2024 - Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering Desconocido - 34,8 KB - MD5: 958688b87a048800e10b0b8c5f6ff76e Code DBSCAN-variants.nlogo (NetLogo model)
readme-en.txt 6 mar 2024 - Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering Texto plano - 3,8 KB - MD5: 6187b2bf22baeff698f124401cb89efd Documentation
readme_netlogo.txt 6 mar 2024 - Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering Texto plano - 193 B - MD5: 7e7df204a7eb2c0ca599a921c010b4b0 Documentation (How to freely download NetLogo in order to execute the model DBSCAN-variants.nlogo

PROLEC-SE-R and PROLEXIA data.csv

18 mar 2024 - A case study of developmental dyslexia in secondary school: a four-year follow-up

Valores separados por comas - 2,6 KB -

Datos

Microsoft Excel, Version 16.66.1 (22101101) was used to collect data from PROLEC-SE-R and PROLEXIA.This Excel file was saved as PROLEC-SE-R and PROLEXIA data in .csv format.

readme-en.txt

18 mar 2024 - A case study of developmental dyslexia in secondary school: a four-year follow-up

Texto plano - 5,5 KB -

Documentación

Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment

14 mar 2024

Severino Fernández Galán, 2024, "Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment", https://doi.org/10.21950/95H81E, e-cienciaDatos, V1

The problem of pedestrian evacuation can be addressed through cellular automata incorporating a floor field that indicates promising movements to pedestrians. The two main types of floor field are the static, which represents the shortest path from each cell to an exit (and is us...

FastEvacuationMethod.nlogo

14 mar 2024 - Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment

Desconocido - 45,3 KB -

Código

NetLogo model

readme-en.txt

14 mar 2024 - Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment

Texto plano - 3,9 KB -

Documentación

readme.txt

14 mar 2024 - Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment

Texto plano - 198 B -

Documentación

How to freely download NetLogo in order to execute the model FastEvacuationMethod.nlogo

Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering

6 mar 2024

Severino Fernández Galán, 2024, "Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering", https://doi.org/10.21950/5C1AEZ, e-cienciaDatos, V1

Clustering is a technique that allows data to be organized into groups of similar objects. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) constitutes a popular clustering algorithm that relies on a density-based notion of cluster and is designed to discover...

DBSCAN-variants.nlogo

6 mar 2024 - Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering

Desconocido - 34,8 KB -

Code

DBSCAN-variants.nlogo (NetLogo model)

readme-en.txt

6 mar 2024 - Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering

Texto plano - 3,8 KB -

Documentation

readme_netlogo.txt

6 mar 2024 - Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering

Texto plano - 193 B -

Documentation

(How to freely download NetLogo in order to execute the model DBSCAN-variants.nlogo

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