ANTAL, GABRIEL
ANTAL, GABRIEL
Dipartimento di Ingegneria Gestionale e della Produzione
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Hybrid knowledge based system supporting Digital Twins in the Industry 5.0
2024 Traini, Emiliano; Antal, Gabriel; Bruno, Giulia; De Maddis, Manuela; Lombardi, Franco; Panza, Luigi; Russo Spena, Pasquale
Machine learning tool for the prediction of electrode wear effect on the quality of resistance spot welds
2024 Panza, Luigi; Bruno, Giulia; Antal, Gabriel; DE MADDIS, Manuela; RUSSO SPENA, Pasquale
Citazione | Data di pubblicazione | Autori | File |
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Hybrid knowledge based system supporting Digital Twins in the Industry 5.0 / Traini, Emiliano; Antal, Gabriel; Bruno, Giulia; De Maddis, Manuela; Lombardi, Franco; Panza, Luigi; Russo Spena, Pasquale. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - ELETTRONICO. - 232:(2024), pp. 1471-1480. (Intervento presentato al convegno 5th International Conference on Industry 4.0 and Smart Manufacturing) [10.1016/j.procs.2024.01.145]. | 1-gen-2024 | Traini, EmilianoAntal, GabrielBruno, GiuliaDe Maddis, ManuelaLombardi, FrancoPanza, LuigiRusso Spena, Pasquale | Hybrid knowledge based system supporting Digital Twins in the Industry 5.0.pdf |
Machine learning tool for the prediction of electrode wear effect on the quality of resistance spot welds / Panza, Luigi; Bruno, Giulia; Antal, Gabriel; DE MADDIS, Manuela; RUSSO SPENA, Pasquale. - In: IJIDEM. - ISSN 1955-2505. - ELETTRONICO. - (2024). [10.1007/s12008-023-01733-7] | 1-gen-2024 | Luigi PanzaGiulia BrunoGabriel AntalManuela De MaddisPasquale Russo Spena | Machine learning tool for the prediction of electrode wear effect on the quality of resistance spot welds.pdf |