Paulo B. Lourenço

According to our database, Paulo B. Lourenço authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Methodologies and Challenges for Optimal Sensor Placement in Historical Masonry Buildings.

Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán, Paulo B. Lourenço

Sensors, December, 2023

Extended Tromograph Surveys for a Full Experimental Characterisation of the San Giorgio Cathedral in Ragusa (Italy).

Giacomo Imposa, Sabrina Grassi, Alberto Barontini, Gabriele Morreale, Salvatore Russo, Paulo B. Lourenço, Sebastiano Imposa

Sensors, January, 2023

2022

On the Use of Web Mapping Platforms to Support the Seismic Vulnerability Assessment of Old Urban Areas.

Cosimo Columbro, Rafael Ramírez Eudave, Tiago Miguel Ferreira, Paulo B. Lourenço, Giovanni Fabbrocino

Remote. Sens., 2022

2021

Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques.

Alberto Barontini, Maria-Giovanna Masciotta, Paulo Amado-Mendes, Luís F. Ramos, Paulo B. Lourenço

Sensors, 2021

Prediction of cement-based mortars compressive strength using machine learning techniques.

Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Evgenios A. Kotsonis, Paulo B. Lourenço

Neural Comput. Appl., 2021

2020

Automatic mesh generator for the non-linear homogenized analysis of double curvature masonry structures.

J. Scacco, Gabriele Milani, Paulo B. Lourenço

Adv. Eng. Softw., 2020

2019

An overview on structural health monitoring: from the current state-of-the-art to new bio-inspired sensing paradigms.

Maria-Giovanna Masciotta, Alberto Barontini, Luís F. Ramos, Paulo Amado-Mendes, Paulo B. Lourenço

Int. J. Bio Inspired Comput., 2019

2018

Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements.

Hélder S. Sousa, Francisco Prieto Castrillo, José C. Matos, Jorge M. Branco, Paulo B. Lourenço

Expert Syst. Appl., 2018

Masonry Compressive Strength Prediction Using Artificial Neural Networks.

Panagiotis G. Asteris, Ioannis Argyropoulos, Liborio Cavaleri, Hugo Rodrigues, Humberto Varum, Job Thomas, Paulo B. Lourenço

Proceedings of the Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage, 2018

2016

Automatic Morphologic Analysis of Quasi-Periodic Masonry Walls from LiDAR.

Belén Riveiro, Paulo B. Lourenço, Daniel V. Oliveira, Higinio González-Jorge, Pedro Arias

Comput. Aided Civ. Infrastructure Eng., 2016