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This thesis investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) methods to improve carbon footprint estimation for Integrated Circuit (IC) components in automotive Cost Engineering (CE). The work addresses challenges faced by electrical cost engineers at Volvo Cars: the manual, time-consuming process of collecting component specifications, and estimating Carbon D
