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Francesco Cesarini results 1 · Newest (Page 1/1, per page 25)
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The International Journal of Life Cycle Assessment · 2025 · Vol. 30 · Issue 12 · Springer
Purpose The combination of machine learning (ML) and life cycle-based methodologies is a promising strategy to overcome some of the most relevant issues regarding carbon footprint (CF) calculation/prediction. This research presents an approach and a software tool to apply ML techniques with the aim of solving issues related to data availability in the life cycle inventory (LCI) and improving the accuracy of carbon footprint pr...