Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification-Reference-Cited by-同舟云学术

Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification

Published:2022 Issue: Volume: Page:165-176
ISSN:1865-0929
Container-title:Engineering Applications of Neural Networks
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Author:

Marasco Giulia^ORCID,Rosso Marco M.^ORCID,Aiello Salvatore^ORCID,Aloisio Angelo^ORCID,Cirrincione Giansalvo^ORCID,Chiaia Bernardino^ORCID,Marano Giuseppe C.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08223-8_14

Reference36 articles.

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2. Aloisio, A., et al.: Indirect assessment of concrete resistance from FE model updating and young’s modulus estimation of a multi-span PSC viaduct: experimental tests and validation. Elsevier Struct. 37, 686–697 (2022)

3. Rosso, M.M., Cucuzza, R., Aloisio, A., Marano, G.C.: Enhanced multi-strategy particle swarm optimization for constrained problems with an evolutionary-strategies-based unfeasible local search operator. Appl. Sci. 12(5), 2285 (2022)

4. Asso, R., Cucuzza, R., Rosso, M.M., Masera, D., Marano, G.C.: Bridges monitoring: an application of AI with gaussian processes. In: 14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control. Institute of Structural Analysis and Antiseismic Research National Technical University of Athens (2021)

5. Rosso, M.M., Cucuzza, R., Di Trapani, F., Marano, G.C.: Nonpenalty machine learning constraint handling using PSO-svm for structural optimization. Adv. Civil Eng. 2021 (2021)

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