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for modelling protein structures and protein-ligand (metabolite) interactions. Using multi-scale molecular models, we aim to predict the structural features of gibberellin (GA) transporters, a key phytohormone
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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spanwise wall oscillations. Parametric studies relating oscillation parameters to heat transfer metrics will be conducted. A key challenge is developing predictive models for estimating the Nusselt number as
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, … available in the BIOMOD2 suite (https://biomodhub.github.io/biomod2/ ) and if these SDM can predict not only species presence distribution but maximum species population density. Second objective is to gather
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oscillations. Parametric studies relating oscillation parameters to heat transfer metrics will be conducted. A key challenge is developing predictive models for estimating the Nusselt number as a function of the