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Field
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practice. Digital Image Correlation (DIC) is a well-established, non-contact optical technique used to measure motion and deformation. It provides comprehensive full-field deformation data, essential
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are prevalent in both type 1 and type 2 diabetes and are associated with poor glycemic control and increased risk of complications. The Deep Digital Phenotyping (DDP) Lab is pioneering a new generation of digital
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evaluates the types of information provided in several venues of policymaking across sampled issues in climate and digital politics. It uses such textual data to study how and when lobbying contributes
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document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses to study shape variation Conduct eco-morphological
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to making a difference in patients' lives. Automation & Process Optimization Automation & Process Optimization Department is part of the Digital Science and Innovation (DSI) area, which supports the digital
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techniques (e.g. electron microscopy) will then be applied to assess the extent of material degradation in each case. Characterisation could include in-situ tensile testing coupled with digital image
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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about our proposed methodology. In this method, the images taken by each drone will be loaded into the pre-processing unit and then the pre-processed data will be used as the input of the deep learning