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Deep Learning assisted quantitative Assessment of the Porosity in Ag-Sinter joints based on non-destructive acoustic inspection

Title: Deep Learning assisted quantitative Assessment of the Porosity in Ag-Sinter joints based on non-destructive acoustic inspection
Authors: Brand, Sebastian; Koegel, Michael; Altmann, Frank; Bach, Linh
Source: 2021 IEEE 71st Electronic Components and Technology Conference (ECTC) ECTC Electronic Components and Technology Conference (ECTC), 2021 IEEE 71st. :877-884 Jun, 2021
Relation: 2021 IEEE 71st Electronic Components and Technology Conference (ECTC)
Database: IEEE Xplore Digital Library