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ConsultabilitĂ delle tesi
Consultabile |
ARICĂ’ MATTEO, A NEW MACHINE LEARNING-BASED DETECTION ALGORITHM FOR POTENTIAL ICE CRYSTAL ICING CONDITIONS FROM GEOSTATIONARY SATELLITE IMAGERY,
Rel. ZARDI DINO,
AA 2023/2024
Author:
ARICĂ’ MATTEO
Title: A NEW MACHINE LEARNING-BASED DETECTION ALGORITHM FOR POTENTIAL ICE CRYSTAL ICING CONDITIONS FROM GEOSTATIONARY SATELLITE IMAGERY Relatore: ZARDI DINO Correlatore: PIONTEK DENNIS Academic year: 2023/2024 Course: Corso di Laurea Magistrale - Environmental Meteorology [0341H] Struttura didattica: Dipartimento di Ingegneria Civile Ambientale e Meccanica Formato: digitale Shelfmark: 0341H-39 |