Adaptive LCI data completion: Integrating neural processes and active learning for enhanced life cycle assessment

Xing, W.W., Chen, H., Chen, Z. et al. (5 more authors) (2025) Adaptive LCI data completion: Integrating neural processes and active learning for enhanced life cycle assessment. In: Mativenga, P. and Gallego-Schmid, A., (eds.) Procedia CIRP. 32nd CIRP Conference on Life Cycle Engineering (LCE 2025), 07-09 Apr 2025, Manchester, United Kingdom. Elsevier , pp. 136-141.

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Mativenga, P.
  • Gallego-Schmid, A.
Copyright, Publisher and Additional Information:

© 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)

Keywords: Life Cycle Assessment; Life Cycle Inventory; Neural Processes; Active Learning
Dates:
  • Published (online): 18 July 2025
  • Published: 18 July 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield)
The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
TBC
Depositing User: Symplectic Sheffield
Date Deposited: 18 Jul 2025 13:50
Last Modified: 18 Jul 2025 14:53
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.procir.2025.01.046
Open Archives Initiative ID (OAI ID):

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