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-time data acquisition during production, consulting, and prototype manufacturing. We aim to eliminate distortion due to residual stresses during the milling and turning processes using simulations. We
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evaluate a prototype that applies usable security principles and artificial intelligence to prioritize the vulnerabilities detected by SAST tools What you bring to the table You are studying Computer Science
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existing AI models that use camera images to make statements about the current process status. You will develop a deep learning model that combines data from cameras and sensors to capture multispectral
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element of the Institute’s work is its unique collections, which include historical documents, images, maps, newspapers, and musical materials, as well as its research library. These resources serve as a
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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sampling algorithms to Bayesian learning paradigm Quantum-assisted training algorithms for sparse machine learning models. What you bring to the table Formal conditions to start a master thesis on a German
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, are all essential advancements to enable a wider and more secure deployment of the technology. Most biometric systems are based on image analyses. Therefore, exciting challenges in the computer vision
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enjoyable. Campus Image © Nils Eisfeld
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hardware issues Perform design validation and troubleshooting during prototype and production phases Data reporting and troubleshooting: Reporting on measurement data to identify performance bottlenecks and
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complex databases of global beach attributes Formulate conceptual models of subterranean estuaries (STEs) in beaches Use AI-based image recognition techniques to automatically classify results from