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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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at the intersection of engineering, data, and emerging technologies. DTU Wind and Energy Systems, in collaboration with leading industrial and academic partners in renewable energy, including NADARA, a major European
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and compare interaction and visualization techniques for using and interpreting detailed and high-resolution information and simulation results. This research is part of the NWO-funded NO REGRETS
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: administrative documents, notarial deeds, chronicles, and other materials Application of digital humanities methods to the processing and visualization of historical data Collaboration in an interdisciplinary team
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projects for sustainable, intelligent, and climate change-resilient infrastructure slopes. Current earthworks assessment remains largely based on visual inspection of the surface. Subsurface deterioration is
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sports environments, especially road cycling, to have a grasp of the nature of the sport • Data visualization solutions (i.e. Power BI, Tableau, Google Data Studio) for producing reports • MATLAB
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remains unclear. Proposed project may focus on investigating financial indicators, narrative framing, visual cues, such as R&D activity, patent disclosures, and campaign storytelling in relation to investor
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studying the bilingual experience – and evidence suggests such switching behaviour can be influenced by many different factors. This can include cues present in the context (e.g., visual information
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 12 hours ago
full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study The programme usually starts in October; in exceptional cases, doctoral
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. Our visual brain effortlessly distils a meaningful message from this, while even the most advanced AI techniques still struggle. Moreover, modern AI requires a lot of training data and energy to analyse