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Game-changing perspectives: a dataset on student perceptions of sustainable mobility pre-and post escape room intervention

Sipone, Silvia; Rodríguez Gutiérrez, Andrés

; Rojo, Marta

; Moura Berodia, José Luis

(Elsevier BV, 2024-04)

Planning policies for the driverless city using backcasting and the participatory Q-Methodology

Nogués Linares, Soledad

; González González, María Esther

; Stead, Dominic; Cordera Piñera, Rubén

(Elsevier, 2023-11)

Logistic regression vs machine learning to predict evacuation decisions in fire alarm situations

Balboa Marras, Adriana

; Cuesta Jiménez, Arturo

; González Villa, Javier

; Ortiz Romero, Gemma

; Alvear Portilla, Manuel Daniel

(Elsevier, 2024-06)

Bathymetries, history of an evolution in precision and performance

Pereda García, Raúl

; Luis Ruiz, Julio Manuel de

; Castillo López, Elena

; Pérez Álvarez, Rubén

; Piña García, Felipe

(Institute of Research Engineers and Doctors, 2019-12-27)

Quantitative contrast between the methodologies for the volumetric evaluation with cross-sections and 3D models in tunnels excavated with explosives

Luis Ruiz, Julio Manuel de

; Pereda García, Raúl

; Pérez Álvarez, Rubén

; Piña García, Felipe

; Castillo López, Elena

(Institute of Research Engineers and Doctors, 2019-12-27)

Experimental study on styrene–butadiene–styrene-modified binders and fly ash micro-filler contributions for implementation in porous asphalt mixes

Lagos Varas, Manuel Evandro

; Movilla Quesada, Diana; Raposeiras Ramos, Aitor Cristiam; Villarroel, Melany; Ramos-Gavilán, Ana B.; Castro Fresno, Daniel

(MDPI, 2024-01)

Analysis of manufacturing and material parameters in 3D-printed polylactic acid (PLA) parts filled with glass powder: mechanical, economic, and environmental assessment

Castañón Jano, Laura

; Palomera Obregón, Paula; Blanco Fernández, Elena

; Indacoechea Vega, Irune

(Springer, 2023-09)

Assessment of co-contaminated soil amended by graphene oxide: effects on pollutants, microbial communities and soil health

Peña Álvarez, Verónica; Baragaño Coto, Diego

; Prosenkov, Alexander; Rodríguez Gallego, José Luis; Peláez, Ana Isabel (Elsevier, 2024-03-01)

Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance

Cano Ortiz, Saúl

; Lloret Iglesias, Lara; Martínez Ruiz del Árbol, Pablo

; Castro Fresno, Daniel

(Elsevier, 2024-03)

Multicriteria analysis for the determination of the exploitability index of industrial aggregate outcrops

Fernández Maroto, Gema

; Luis Ruiz, Julio Manuel de

; Pereda García, Raúl

; Malagón Picón, Beatriz

; Pérez Álvarez, Rubén

(Polish Academy of Sciences, 2020)

3D Documentation with TLS of Caliphal Gate (Ceuta, Spain)

Pérez Álvarez, Rubén

; Luis Ruiz, Julio Manuel de

; Pereda García, Raúl

; Fernández Maroto, Gema

; Malagón Picón, Beatriz

(MDPI, 2020-08-04)

A novel heuristic tool for selecting the best upgrading conditions for the removal of potentially toxic elements by soil washing

Corres, X; Sierra Fernández, Carlos

; Diez Mestas, A.J.; Rodríguez Gallego, Jos é Luis; Baragaño Coto, Diego

(Elsevier, 2024-03-15)

Use of recycled aggregates made from construction and demolition waste in sustainable road base layers

Teijón López-Zuazo, Evelio; Vega Zamanillo, Angel

; Calzada Pérez, Miguel Ángel

; Robles-Miguel, Ángel (MDPI, 2020)

Bearing capacity of bottom ash and its mixture with soils

López López, Esteban; Vega Zamanillo, Angel

; Calzada Pérez, Miguel Ángel

; Hernández Sanz, Alberto (Japanese Society of Soil Mechanics and Foundation Engineering, 2015)

Estimation of unconfined compressive strength of cement-stabilized jabre as material upgrade on highway construction

Teijón-López-Zuazo, E.; Vega Zamanillo, Angel

; Calzada Pérez, Miguel Ángel

; Juli Gándara, Luis (CSIC, 2020)

Use of bottom ash from thermal power plant and lime as filler in bituminous mixtures

López López, Esteban; Vega Zamanillo, Angel

; Calzada Pérez, Miguel Ángel

; Taborga Sedano, Manuel Ángel (CSIC, 2015)

An end-to-end computer vision system based on deep learning for pavement distress detection and quantification

Cano Ortiz, Saúl

; Lloret Iglesias, Lara; Martínez Ruiz del Árbol, Pablo

; Lastra González, Pedro

; Castro Fresno, Daniel

(Elsevier Ltd, 2024-02-16)

An evaluation of the feasibility of electrostatic separation for physical soil washing

Corres, X; Baragaño Coto, Diego

; Menéndez Aguado, Juan María; Rodríguez Gallego, José Luis; Sierra Fernández, Carlos

(Elsevier, 2023-11)

Hg and As pollution in the soil-plant system evaluated by combining multispectral UAV-RS, geochemical survey and machine learning

Salgado, Lorena; López Sánchez, Carlos A.; Colina Vuelta, Arturo; Baragaño Coto, Diego

; Forján Castro, Rubén; Rodríguez Gallego, José Luis (Elsevier, 2023-09-15)

Exploring polluted sediments as a potential resource: a mineral processing approach for the recovery of critical materials

Baragaño Coto, Diego

; Berrezueta, Edgar; Menéndez Aguado, Juan María (Sociedad Geológica de España, 2023-12)

D09 Artículos: Envíos recientes

Game-changing perspectives: a dataset on student perceptions of sustainable mobility pre-and post escape room intervention

Planning policies for the driverless city using backcasting and the participatory Q-Methodology

Logistic regression vs machine learning to predict evacuation decisions in fire alarm situations

Bathymetries, history of an evolution in precision and performance

Quantitative contrast between the methodologies for the volumetric evaluation with cross-sections and 3D models in tunnels excavated with explosives

Experimental study on styrene–butadiene–styrene-modified binders and fly ash micro-filler contributions for implementation in porous asphalt mixes

Analysis of manufacturing and material parameters in 3D-printed polylactic acid (PLA) parts filled with glass powder: mechanical, economic, and environmental assessment

Assessment of co-contaminated soil amended by graphene oxide: effects on pollutants, microbial communities and soil health

Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance

Multicriteria analysis for the determination of the exploitability index of industrial aggregate outcrops

3D Documentation with TLS of Caliphal Gate (Ceuta, Spain)

A novel heuristic tool for selecting the best upgrading conditions for the removal of potentially toxic elements by soil washing

Use of recycled aggregates made from construction and demolition waste in sustainable road base layers

Bearing capacity of bottom ash and its mixture with soils

Estimation of unconfined compressive strength of cement-stabilized jabre as material upgrade on highway construction

Use of bottom ash from thermal power plant and lime as filler in bituminous mixtures

An end-to-end computer vision system based on deep learning for pavement distress detection and quantification

An evaluation of the feasibility of electrostatic separation for physical soil washing

Hg and As pollution in the soil-plant system evaluated by combining multispectral UAV-RS, geochemical survey and machine learning

Exploring polluted sediments as a potential resource: a mineral processing approach for the recovery of critical materials

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D09 Artículos: Envíos recientes

Game-changing perspectives: a dataset on student perceptions of sustainable mobility pre-and post escape room intervention ﻿

Planning policies for the driverless city using backcasting and the participatory Q-Methodology ﻿

Logistic regression vs machine learning to predict evacuation decisions in fire alarm situations ﻿

Bathymetries, history of an evolution in precision and performance ﻿

Quantitative contrast between the methodologies for the volumetric evaluation with cross-sections and 3D models in tunnels excavated with explosives ﻿

Experimental study on styrene–butadiene–styrene-modified binders and fly ash micro-filler contributions for implementation in porous asphalt mixes ﻿

Analysis of manufacturing and material parameters in 3D-printed polylactic acid (PLA) parts filled with glass powder: mechanical, economic, and environmental assessment ﻿

Assessment of co-contaminated soil amended by graphene oxide: effects on pollutants, microbial communities and soil health ﻿

Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance ﻿

Multicriteria analysis for the determination of the exploitability index of industrial aggregate outcrops ﻿

3D Documentation with TLS of Caliphal Gate (Ceuta, Spain) ﻿

A novel heuristic tool for selecting the best upgrading conditions for the removal of potentially toxic elements by soil washing ﻿

Use of recycled aggregates made from construction and demolition waste in sustainable road base layers ﻿

Bearing capacity of bottom ash and its mixture with soils ﻿

Estimation of unconfined compressive strength of cement-stabilized jabre as material upgrade on highway construction ﻿

Use of bottom ash from thermal power plant and lime as filler in bituminous mixtures ﻿

An end-to-end computer vision system based on deep learning for pavement distress detection and quantification ﻿

An evaluation of the feasibility of electrostatic separation for physical soil washing ﻿

Hg and As pollution in the soil-plant system evaluated by combining multispectral UAV-RS, geochemical survey and machine learning ﻿

Exploring polluted sediments as a potential resource: a mineral processing approach for the recovery of critical materials ﻿

Game-changing perspectives: a dataset on student perceptions of sustainable mobility pre-and post escape room intervention

Planning policies for the driverless city using backcasting and the participatory Q-Methodology

Logistic regression vs machine learning to predict evacuation decisions in fire alarm situations

Bathymetries, history of an evolution in precision and performance

Quantitative contrast between the methodologies for the volumetric evaluation with cross-sections and 3D models in tunnels excavated with explosives

Experimental study on styrene–butadiene–styrene-modified binders and fly ash micro-filler contributions for implementation in porous asphalt mixes

Analysis of manufacturing and material parameters in 3D-printed polylactic acid (PLA) parts filled with glass powder: mechanical, economic, and environmental assessment

Assessment of co-contaminated soil amended by graphene oxide: effects on pollutants, microbial communities and soil health

Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance

Multicriteria analysis for the determination of the exploitability index of industrial aggregate outcrops

3D Documentation with TLS of Caliphal Gate (Ceuta, Spain)

A novel heuristic tool for selecting the best upgrading conditions for the removal of potentially toxic elements by soil washing

Use of recycled aggregates made from construction and demolition waste in sustainable road base layers

Bearing capacity of bottom ash and its mixture with soils

Estimation of unconfined compressive strength of cement-stabilized jabre as material upgrade on highway construction

Use of bottom ash from thermal power plant and lime as filler in bituminous mixtures

An end-to-end computer vision system based on deep learning for pavement distress detection and quantification

An evaluation of the feasibility of electrostatic separation for physical soil washing

Hg and As pollution in the soil-plant system evaluated by combining multispectral UAV-RS, geochemical survey and machine learning

Exploring polluted sediments as a potential resource: a mineral processing approach for the recovery of critical materials