Titlebook: Learning Analytics und Künstliche Intelligenz in Studium und Lehre; Erfahrungen und Schl Peter Salden,Jonas Leschke Book 2024 Der/die Herau

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Maren Scheffel,Christos Simis,Jonas Leschke,Lena Borgards,Peter Saldenat the natural history of imaging techniques, we can identify three main axes of its development. Logically, it was first essential to image the brain morphologically. For this purpose, computed tomography was initially used, followed by ultra­ sound. However, to improve the quality of the images, m

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Jonas Leschke,Peter Saldendy, e.g., the head. Positron emission tomography (PET) takes advantage of the unique properties of annihilation radiation that is generated when positrons are absorbed in matter to provide an image that is a highly accurate representative of that radionuclide at a selected plane through the organ. P

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Jessica Posenau,Mark Zeuchins with the external inspection, dominated by the use of computer vision, which analyses morphological features and surface attributes. Then, inspection goes through the pericarp and reaches the closest inner layers by the application of hyperspectral imaging, which provides complementary informati

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Tabea Schwarz,Sebastian Jeworutzki of their growth in the dough matrix during subsequent breadmaking stages, and their retention until the dough matrix is set. Therefore, gas production and gas retention in the bread dough are crucial during the breadmaking process in order to make good-quality bread. The gas production in the dough

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Anna Soltyska,Seth Berk,Astrid Reich criteria in solid tumors) have provided means to objectively measure tumor response in clinical trials with imaging. These guidelines have been rapidly adopted in clinical practice to monitor patient treatment and for therapy planning. However, relying only on anatomical information is not always s

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Das Projekt KI:edu.nrw – Rückblick für einen Ausblickarning Analytics und KI in der Hochschulbildung‘ im Überblick vor. Der Beginn des Projekts lag im Jahr 2020, das schon heute als Startpunkt in ein ,KI-Jahrzehnt‘ gelten kann. KI:edu.nrw war zum Beginn der Projektförderung das umfangreichste landesgeförderte KI-Vorhaben in Deutschland, das praxisorie