Sfoglia per Rivista ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS
Mostrati risultati da 1 a 4 di 4
Integration of process parameters and condition monitoring data through Deep Learning models for predictive maintenance
2024 Gabellini, M; Civolani, L; Regattieri, A; Calabrese, F; Bortolini, M
A machine learning model predicting supplier delivery delays under partial shipments conditions: a case study in the automotive sector
2024 Civolani, L; Gabellini, M; Regattieri, A; Calabrese, F; Ronchi, M
Multivariate multi-output LSTM for time series forecasting with intermittent demand patterns
file con accesso da definire2022 Gabellini, M.; Calabrese, F.; Regattieri, A.; Ferrari, E.
A predictive data-driven approach for supply chain quality risks in the automotive sector
2023 Gabellini, M.; Calabrese, F.; Civolani, L.; Regattieri, A.; Galizia, F. G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Integration of process parameters and condition monitoring data through Deep Learning models for predictive maintenance | 2024 | Gabellini, M; Civolani, L; Regattieri, A; Calabrese, F; Bortolini, M | |
| A machine learning model predicting supplier delivery delays under partial shipments conditions: a case study in the automotive sector | 2024 | Civolani, L; Gabellini, M; Regattieri, A; Calabrese, F; Ronchi, M | |
| Multivariate multi-output LSTM for time series forecasting with intermittent demand patterns | 2022 | Gabellini, M.; Calabrese, F.; Regattieri, A.; Ferrari, E. | file con accesso da definire |
| A predictive data-driven approach for supply chain quality risks in the automotive sector | 2023 | Gabellini, M.; Calabrese, F.; Civolani, L.; Regattieri, A.; Galizia, F. G. |
Mostrati risultati da 1 a 4 di 4
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