Assessing machine learning methods for environmental performances
Lisa Dawel, Alexandra Pehlken, Lorenzo FrancescoGandini, Paolo Rosa
The objective of this report is to demonstrate the current status and the planned future work of threedifferent use cases that use machine learning for environmental performance that were developed duringthe duration of the CIRC-UITS project.The first and third use case of the application of AI both support the process or repairing / regaining materialsby supporting repairability in different ways. The second use case applies AI in order to complete missingentries in the LCA data that hinder a complete assessment with the use of matrix completion algorithms. Itthus supports in the area of the provision of data. For each use case, the motivation, methodology and futurework are shown in order to showcase the possible environmental impact.
06 / 2024
misc
CIRC-UITS
Circular Integration of independent Reverse supply Chains for the smart reUse of IndusTrially relevant Semiconductors
Circular Integration of independent Reverse supply Chains for the smart reUse of IndusTrially relevant Semiconductors
