Publicacións en colaboración con investigadores/as de Universidade Do Porto (46)

2022

  1. A DEEP LEARNING APPROACH FOR THE RECOGNITION OF URBAN GROUND PAVEMENTS IN HISTORICAL SITES

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

  2. Dual pulsed laser deposition of Ag nanoparticles on calcium phosphate coatings for biomedical applications

    Biomedical physics & engineering express, Vol. 8, Núm. 6

  3. Exploiting BIM Objects for Synthetic Data Generation toward Indoor Point Cloud Classification Using Deep Learning

    Journal of Computing in Civil Engineering, Vol. 36, Núm. 6

  4. Residual forest biomass and energy assessment: a case study analysis in the region of Alto Minho (North Portugal) for the creation of BLCs and 2GBLCs

    International Journal of Sustainable Energy, Vol. 41, Núm. 1, pp. 85-102

  5. WiPTherm: A novel energy harvesting paradigm for CubeSats

    Proceedings of the International Astronautical Congress, IAC

2020

  1. Characterization of hyperelastic and damage behavior of tendons

    Computer Methods in Biomechanics and Biomedical Engineering, Vol. 23, Núm. 6, pp. 213-223

  2. Local versus Regional Soil Screening Levels to Identify Potentially Polluted Areas

    Mathematical Geosciences, Vol. 52, Núm. 3, pp. 381-396

  3. Performance of electro-fenton water treatment technology in decreasing zebrafish embryotoxicity elicited by a mixture of organic contaminants

    Advances in Science, Technology and Innovation (Springer Nature), pp. 243-246

  4. Transfer Learning in urban object classification: Online images to recognize point clouds

    Automation in Construction, Vol. 111

2019

  1. A safety analysis of roundabouts and turbo roundabouts based on Petri nets

    Traffic Injury Prevention, Vol. 20, Núm. 4, pp. 400-405

  2. Payload for contact inspection tasks with UAV systems

    Sensors (Switzerland), Vol. 19, Núm. 17

  3. Point clouds and the measurement of the physical form of cities

    Urban Morphology

  4. Point clouds for direct pedestrian pathfinding in urban environments

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 148, pp. 184-196