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Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment

Cano Ortiz, Saúl

; Sainz Ortiz, Eugenio

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

; Castro Fresno, Daniel

(Elsevier, 2024-09)

Gamification as a tool to improve educational and training outcomes in civil engineering: a state-of-the-art review

Jato Espino, Daniel

; Vila Cortavitarte, Marta

; Rodríguez Hernández, Jorge

; Castro Fresno, Daniel

(ASCE, 2024-10)

Two-Layer porous asphalt: main properties to decrease the noise emissions

Castro Fresno, Daniel

; Miera Domínguez, Helena

; Lastra González, Pedro

; Indacoechea Vega, Irune

; van Loon, Ronald; van Blokland, Gijsjan (SAGE, 2024)

Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars

Rodríguez Gutiérrez, Andrés

; Alonso Oreña, Borja

; Moura Berodia, José Luis

; Dell´Olio, Luigi

(Elsevier, 2024-10)

What is known and unknown concerning microplastics from tyre wear?

Miera Domínguez, Helena

; Lastra González, Pedro

; Indacoechea Vega, Irune

; Castro Fresno, Daniel

(Taylor and Francis Ltd., 2024-08)

Design and validation of a new asphalt mixture to reduce road traffic noise pollution in urban areas

Miera Domínguez, Helena

; Lastra González, Pedro

; Indacoechea Vega, Irune

; van Loon, Ronald; van Blokland, Gijsjan; Licitra, Gaetano; Moro, Antonino; Castro Fresno, Daniel

; Kanka, Simon (Elsevier, 2024-07)

Life cycle approach for evaluating the environmental and economic viability of low-noise asphalt pavements

Indacoechea Vega, Irune

; Miera Domínguez, Helena

; Lastra González, Pedro

; Castro Fresno, Daniel

(Elsevier, 2024-08-10)

Healing by magnetic induction of a novel cold pavement with asphalt emulsion and industrial by-products

DeLaFuente-Navarro, Christopher Alfredo; Lastra González, Pedro

; Indacoechea Vega, Irune

; Castro Fresno, Daniel

(Elsevier, 2024-04)

Evaluation of the mechanical performance of AC mixtures with recycled fibres

Miera Domínguez, Helena

; Lastra González, Pedro

; Indacoechea Vega, Irune

; Castro Fresno, Daniel

(Elsevier, 2024-04)

Factores determinantes en la toma de decisiones de evacuación : análisis experimental y desarrollo de modelos predictivos

Balboa Marras, Adriana

(2024-05-31)

Laboratory assessment of the infiltration capacity reduction in clogged porous mixture surfaces

Andrés Valeri, Valerio Carlos Alessio

; Marchioni, Mariana; Sañudo Fontaneda, Luis Ángel

; Giustozzi, Filippo; Becciu, Gianfranco (MDPI, 2016)

Multi-criteria analysis of porous asphalt mixtures with aramid fiber under adverse conditions

DeLaFuente-Navarro, Christopher Alfredo; Lastra González, Pedro

; Slebi Acevedo, Carlos José; Indacoechea Vega, Irune

; Castro Fresno, Daniel

(Elsevier Ltd, 2024-05)

D3.2. Multi-criteria decision analysis (MCDA) for selection and location of hybrid solutions

Andrés Valeri, Valerio Carlos Alessio

; Roldán Valcarce, Alejandro

; García Argüelles, Sara; Rodríguez Hernández, Jorge

; Pascual Muñoz, Pablo

; Castro Fresno, Daniel

(2024-02)

Efficient Reuse of Railway Track Waste Materials

Sañudo Ortega, Roberto

; Goswami, Rohit Raj; Ricci, Stefano; Miranda Manzanares, Marina

(MDPI, 2022)

Uncovering non-emergency-related factors in threat responses: logistic regression analysis of online experimental data for behaviour patterns

Balboa Marras, Adriana

; Cuesta Jiménez, Arturo

; González Villa, Javier

; Ortiz Romero, Gemma

; Alvear Portilla, Manuel Daniel

(Elsevier, 2024-02)

End-of-Life approach in permeable pavement systems: a forensic study of the particle-related pollutants retained in porous concrete and porous asphalt surface layers

Andrés Valeri, Valerio Carlos Alessio

; García Argüelles, Sara; Sañudo Fontaneda, Luis Ángel

; Rodríguez Gallego, José Luis; Rodríguez Hernández, Jorge

; Sierra, C. (2023)

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)

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)

Using the point method to estimate failure loads in 3D printed graphene-reinforced PLA notched plates

Cicero González, Sergio

; Arrieta Gómez, Sergio

; Sánchez Matías, Marcos

; Castañón Jano, Laura

(Institute of Physics, 2024)

D09 Proyectos de investigación: Envíos recientes

Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment

Gamification as a tool to improve educational and training outcomes in civil engineering: a state-of-the-art review

Two-Layer porous asphalt: main properties to decrease the noise emissions

Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars

What is known and unknown concerning microplastics from tyre wear?

Design and validation of a new asphalt mixture to reduce road traffic noise pollution in urban areas

Life cycle approach for evaluating the environmental and economic viability of low-noise asphalt pavements

Healing by magnetic induction of a novel cold pavement with asphalt emulsion and industrial by-products

Evaluation of the mechanical performance of AC mixtures with recycled fibres

Factores determinantes en la toma de decisiones de evacuación : análisis experimental y desarrollo de modelos predictivos

Laboratory assessment of the infiltration capacity reduction in clogged porous mixture surfaces

Multi-criteria analysis of porous asphalt mixtures with aramid fiber under adverse conditions

D3.2. Multi-criteria decision analysis (MCDA) for selection and location of hybrid solutions

Efficient Reuse of Railway Track Waste Materials

Uncovering non-emergency-related factors in threat responses: logistic regression analysis of online experimental data for behaviour patterns

End-of-Life approach in permeable pavement systems: a forensic study of the particle-related pollutants retained in porous concrete and porous asphalt surface layers

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

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

Using the point method to estimate failure loads in 3D printed graphene-reinforced PLA notched plates

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D09 Proyectos de investigación: Envíos recientes

Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment ﻿

Gamification as a tool to improve educational and training outcomes in civil engineering: a state-of-the-art review ﻿

Two-Layer porous asphalt: main properties to decrease the noise emissions ﻿

Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars ﻿

What is known and unknown concerning microplastics from tyre wear? ﻿

Design and validation of a new asphalt mixture to reduce road traffic noise pollution in urban areas ﻿

Life cycle approach for evaluating the environmental and economic viability of low-noise asphalt pavements ﻿

Healing by magnetic induction of a novel cold pavement with asphalt emulsion and industrial by-products ﻿

Evaluation of the mechanical performance of AC mixtures with recycled fibres ﻿

Factores determinantes en la toma de decisiones de evacuación : análisis experimental y desarrollo de modelos predictivos ﻿

Laboratory assessment of the infiltration capacity reduction in clogged porous mixture surfaces ﻿

Multi-criteria analysis of porous asphalt mixtures with aramid fiber under adverse conditions ﻿

D3.2. Multi-criteria decision analysis (MCDA) for selection and location of hybrid solutions ﻿

Efficient Reuse of Railway Track Waste Materials ﻿

Uncovering non-emergency-related factors in threat responses: logistic regression analysis of online experimental data for behaviour patterns ﻿

End-of-Life approach in permeable pavement systems: a forensic study of the particle-related pollutants retained in porous concrete and porous asphalt surface layers ﻿

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 ﻿

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

Using the point method to estimate failure loads in 3D printed graphene-reinforced PLA notched plates ﻿

Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment

Gamification as a tool to improve educational and training outcomes in civil engineering: a state-of-the-art review

Two-Layer porous asphalt: main properties to decrease the noise emissions

Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars

What is known and unknown concerning microplastics from tyre wear?

Design and validation of a new asphalt mixture to reduce road traffic noise pollution in urban areas

Life cycle approach for evaluating the environmental and economic viability of low-noise asphalt pavements

Healing by magnetic induction of a novel cold pavement with asphalt emulsion and industrial by-products

Evaluation of the mechanical performance of AC mixtures with recycled fibres

Factores determinantes en la toma de decisiones de evacuación : análisis experimental y desarrollo de modelos predictivos

Laboratory assessment of the infiltration capacity reduction in clogged porous mixture surfaces

Multi-criteria analysis of porous asphalt mixtures with aramid fiber under adverse conditions

D3.2. Multi-criteria decision analysis (MCDA) for selection and location of hybrid solutions

Efficient Reuse of Railway Track Waste Materials

Uncovering non-emergency-related factors in threat responses: logistic regression analysis of online experimental data for behaviour patterns

End-of-Life approach in permeable pavement systems: a forensic study of the particle-related pollutants retained in porous concrete and porous asphalt surface layers

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

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

Using the point method to estimate failure loads in 3D printed graphene-reinforced PLA notched plates