Dottorato in Ingegneria Civile E Ambientale , 37o ciclo (2021-2024)
Dottorato concluso nel 2025
Tesi:
Advanced Deep Learning Models for Acoustic Event Detection in Prestressed Concrete Bridge Monitoring (Abstract)
Tutori:
Giulio Ventura Mauro CorradoPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Farhadi, Sasan; Tatullo, Samuele; Ferrian, Francesco (2025)
Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction. In: SCIENTIFIC REPORTS, vol. 15, pp. 1-18. ISSN 2045-2322
Contributo su Rivista - Farhadi, Sasan (2025)
Advanced Deep Learning Models for Acoustic Event Detection in Prestressed Concrete Bridge Monitoring. relatore: VENTURA, Giulio; CORRADO, MAURO; , 37. XXXVII Ciclo, P.: 160
Doctoral Thesis - Farhadi, Sasan; Corrado, Mauro; Ventura, Giulio (2024)
Acoustic Event-Based Prestressing Concrete Wire Breakage Detection. In: 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, SMAR 2024, Salerno (Ita), 8 March 2023 through 11 March 2023, pp. 549-556. ISSN 2452-3216
Contributo in Atti di Convegno (Proceeding) - Farhadi, Sasan; Tatullo, Samuele; Boveiri Konari, Mina; Afzal, Peyman (2024)
Evaluating StackingC and ensemble models for enhanced lithological classification in geological mapping. In: JOURNAL OF GEOCHEMICAL EXPLORATION, vol. 260, pp. 1-14. ISSN 0375-6742
Contributo su Rivista - Farhadi, S.; Corrado, M.; Borla, O.; Ventura, G. (2024)
Prestressing wire breakage monitoring using sound event detection. In: COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, vol. 39, pp. 186-202. ISSN 1467-8667
Contributo su Rivista - Farhadi, S.; Corrado, M.; Ventura, G. (2024)
Automated acoustic event-based monitoring of prestressing tendons breakage in concrete bridges. In: COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, pp. 1-21. ISSN 1093-9687
Contributo su Rivista - Afzal, Peyman; Farhadi, Sasan; Boveiri Konari, Mina; Shamseddin Meigooni, Mojtaba; ... (2022)
Geochemical Anomaly Detection in the Irankuh District Using Hybrid Machine Learning Technique and Fractal Modeling. In: GEOPERSIA, vol. 12, pp. 191-199. ISSN 2228-7817
Contributo su Rivista - Farhadi, Sasan; Afzal, Peyman; Boveiri Konari, Mina; Daneshvar Saein, Lili; Sadeghi, ... (2022)
Combination of Machine Learning Algorithms with Concentration-Area Fractal Method for Soil Geochemical Anomaly Detection in Sediment-Hosted Irankuh Pb-Zn Deposit, Central Iran. In: MINERALS, vol. 12, pp. 1-23. ISSN 2075-163X
Contributo su Rivista - Feizi, Faranak; Abbas Karbalaei-Ramezanali, Amir; Farhadi, Sasan (2021)
FUCOM-MOORA and FUCOM-MOOSRA: new MCDM-based knowledge-driven procedures for mineral potential mapping in greenfields. In: SN APPLIED SCIENCES, vol. 3. ISSN 2523-3971
Contributo su Rivista - Farhadi, S; Civera, M (2021)
Experimental estimation of the damping ratio of metallic foam sandwich panels with sand intrusions. In: JOURNAL OF VIBROENGINEERING, vol. 23, pp. 1196-1206. ISSN 1392-8716
Contributo su Rivista - Feizi, Faranak; Abbas Karbalaei-Ramezanali, Amir; Farhadi, Sasan (2021)
Application of multivariate regression on magnetic data to determine further drilling site for iron exploration. In: OPEN GEOSCIENCES, vol. 13, pp. 138-147. ISSN 2391-5447
Contributo su Rivista