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Paulo B. Lourenço
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 10
Top Topics
Prediction Algorithm
Friction Coefficient
Training Samples
Using Artificial Neural Networks
Top Venues
Sensors
TMM_CH (2)
Remote. Sens.
Int. J. Bio Inspired Comput.
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Publications
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Giacomo Imposa
,
Sabrina Grassi
,
Alberto Barontini
,
Gabriele Morreale
,
Salvatore Russo
,
Paulo B. Lourenço
,
Sebastiano Imposa
Extended Tromograph Surveys for a Full Experimental Characterisation of the San Giorgio Cathedral in Ragusa (Italy).
Sensors
23 (2) (2023)
Estefanía Chaves
,
Alberto Barontini
,
Nuno Mendes
,
Víctor Compán
,
Paulo B. Lourenço
Methodologies and Challenges for Optimal Sensor Placement in Historical Masonry Buildings.
Sensors
23 (23) (2023)
Cosimo Columbro
,
Rafael Ramírez Eudave
,
Tiago Miguel Ferreira
,
Paulo B. Lourenço
,
Giovanni Fabbrocino
On the Use of Web Mapping Platforms to Support the Seismic Vulnerability Assessment of Old Urban Areas.
Remote. Sens.
14 (6) (2022)
Panagiotis G. Asteris
,
Mohammadreza Koopialipoor
,
Danial Jahed Armaghani
,
Evgenios A. Kotsonis
,
Paulo B. Lourenço
Prediction of cement-based mortars compressive strength using machine learning techniques.
Neural Comput. Appl.
33 (19) (2021)
Alberto Barontini
,
Maria-Giovanna Masciotta
,
Paulo Amado-Mendes
,
Luís F. Ramos
,
Paulo B. Lourenço
Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques.
Sensors
21 (21) (2021)
J. Scacco
,
G. Milani
,
Paulo B. Lourenço
Automatic mesh generator for the non-linear homogenized analysis of double curvature masonry structures.
Adv. Eng. Softw.
150 (2020)
Maria-Giovanna Masciotta
,
Alberto Barontini
,
Luís F. Ramos
,
Paulo Amado-Mendes
,
Paulo B. Lourenço
An overview on structural health monitoring: from the current state-of-the-art to new bio-inspired sensing paradigms.
Int. J. Bio Inspired Comput.
14 (1) (2019)
Hélder S. Sousa
,
Francisco Prieto Castrillo
,
José C. Matos
,
Jorge M. Branco
,
Paulo B. Lourenço
Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements.
Expert Syst. Appl.
93 (2018)
Panagiotis G. Asteris
,
Ioannis Argyropoulos
,
Liborio Cavaleri
,
Hugo Rodrigues
,
Humberto Varum
,
Job Thomas
,
Paulo B. Lourenço
Masonry Compressive Strength Prediction Using Artificial Neural Networks.
TMM_CH (2)
(2018)
Belén Riveiro
,
Paulo B. Lourenço
,
Daniel V. Oliveira
,
Higinio González-Jorge
,
Pedro Arias
Automatic Morphologic Analysis of Quasi-Periodic Masonry Walls from LiDAR.
Comput. Aided Civ. Infrastructure Eng.
31 (4) (2016)