objection 发表于 2025-3-25 03:39:44
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Erhard Rahmse preprocessing methods were either used alone or in combination in a single “fusion” CNN. The second class of algorithm used a Deep Learning architecture that combines a CNN for processing spatial information (Inception V3) with a recurrent network (long-short-term-memory, or LSTM) for temporal angangrene 发表于 2025-3-25 12:09:03
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Erhard Rahm own pace. We present a framework for a smart virtual university hospital as well as our experiences when it comes to developing and testing solutions for training interprofessional team communication and collaboration. In the main part of the work reported here, medicine and nursing students worked说明 发表于 2025-3-25 20:11:19
Erhard Rahmsupport system. The first function is to support teachers with the analysis of students with common problems. The second function is to support teachers with the analysis of students who are having difficulties. The third function is to provide TAs with the features of students’ programming behavior天文台 发表于 2025-3-26 03:14:58
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Erhard Rahm, technologies and systems of a smart university—those that go well beyond features, components and systems used in a traditional university with predominantly face-to-face classes and learning activities. This paper presents the up-to-date outcomes and findings of conceptual modeling of smart univesigmoid-colon 发表于 2025-3-26 10:21:21
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Erhard Rahm place can be addressed and handled. Moreover, in contrast to existing solutions, the FAR framework aims at providing route plans while preserving the location privacy of people. Applying the concepts of Chap. . and the results of the research efforts described in Chap. . and Chap. ., the author dev