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measurement campaign using high-speed imaging and in-line force measurements on actual textile manufacturing machinery in collaboration with leading industrial partners. The goal is to develop a predictive
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stages is especially challenging due to limited data availability, making it difficult to predict environmental impacts accurately. Additionally, complex synthesis routes require integrating green
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impacts on biodiversity is now. The overarching aim of CanopyChange is to quantify, understand and predict the impacts of no-analog light regimes and drought on below-canopy forest plant biodiversity
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic