Salvatore Aiello

Argomento di ricerca

Smart analysis of infrastructures through system engineering and AI

Tutori

• Bernardino Chiaia

Presentazione della ricerca

Poster

Corso di laurea di 1° livello

• Building Construction Studio A (modulo di Structural mechanics). A.A. 2023/24, ARCHITETTURA (ARCHITECTURE). Collaboratore del corso

• Aiello, S.; De Biagi, V.; Chiaia, B.; Alessio, C.; Baccolini, L.; Fantuz, R. (2023)
  Analytical study of anomalies in tunnel lining thickness: Critical temperature variations. In: ITA-AITES World Tunnel Congress 2023 (WTC 2023), Athens, Greece, 12-18 May 2023, pp. 2951-2958. ISBN: 9781003348030
  Contributo in Atti di Convegno (Proceeding)
• Rosso, M. M.; Marasco, G.; Aiello, S.; Aloisio, A.; Chiaia, B.; Marano, G. C. (2023)
  Convolutional networks and transformers for intelligent road tunnel investigations. In: COMPUTERS & STRUCTURES, vol. 275. ISSN 0045-7949
  Contributo su Rivista
• Chiaia, Bernardino; Marasco, Giulia; Aiello, Salvatore (2022)
  Innovative strategies to preserve the Italian engineering heritage: the historical tunnels.. In: XX International Forum World Heritage and Ecological Transition, Napoli (Italia);, 8-9-10 Settembre 2022, pp. 158-165. ISBN: 9788849245301
  Contributo in Atti di Convegno (Proceeding)
• Marasco, Giulia; Rosso, Marco M.; Aiello, Salvatore; Aloisio, Angelo; Cirrincione, ... (2022)
  Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification. In: 23th International Conference on Engineering Applications of Neural Networks (Engineering Applications and Advances of Artificial Intelligence), Crete, Greece, 17 – 20 June, 2022, pp. 165-176. ISBN: 978-3-031-08222-1
  Contributo in Atti di Convegno (Proceeding)
• Rosso, M. M.; Marasco, G.; Tanzi, L.; Aiello, S.; Aloisio, A.; Cucuzza, R.; Chiaia, B.; ... (2022)
  ADVANCED DEEP LEARNING COMPARISONS FOR NON-INVASIVE TUNNEL LINING ASSESSMENT FROM GROUND PENETRATING RADAR PROFILES. In: 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), Oslo (NO), 5 - 9 Giugno 2022, pp. 1-10. ISSN 2696-6999. ISBN: 9788412322286
  Contributo in Atti di Convegno (Proceeding)