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Titlebook: Business Information Systems; 23rd International C Witold Abramowicz,Gary Klein Conference proceedings 2020 Springer Nature Switzerland AG

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樓主: 欺侮
31#
發(fā)表于 2025-3-26 21:22:14 | 只看該作者
https://doi.org/10.1007/978-3-642-46247-4r conflict resolution and recommendations based on data not contained in the sample itself. We implemented a fully functional prototype and conducted a user study with 12 participants. We show that our approach delivers a significantly higher error correction than comparable approaches which only consider the sample dataset.
32#
發(fā)表于 2025-3-27 01:54:10 | 只看該作者
33#
發(fā)表于 2025-3-27 07:30:30 | 只看該作者
Theoretische Rahmung und Forschungsstand,caling beyond the scope of a single application context. To address this research gap, we propose a novel approach orchestrating well-established conversational assistants. We demonstrate and evaluate our approach using six chatbots, providing higher quality than competing artifacts.
34#
發(fā)表于 2025-3-27 11:13:45 | 只看該作者
35#
發(fā)表于 2025-3-27 15:43:13 | 只看該作者
https://doi.org/10.1007/978-3-663-05349-1erature review and a structured text analysis of the GDPR. In total, we were able to generate 18 NFR and organized them into the categories Purpose, Obligation, Ownership, Procedures and Integrity and Transparency.
36#
發(fā)表于 2025-3-27 21:23:17 | 只看該作者
Mechanismen radikaler Reaktionenf 99.375% and an Equal Error Rate (EER) of 0.119% respectively. The study additionally produced a ballet pose dataset, which serves as a contribution to the ballet and computer vision community. By combining suitable computer vision methods, the study demonstrates that successful recognition of ballet poses can be accomplished.
37#
發(fā)表于 2025-3-27 22:38:28 | 只看該作者
38#
發(fā)表于 2025-3-28 02:34:15 | 只看該作者
Legal Requirement Elicitation, Analysis and Specification for a Data Transparency Systemerature review and a structured text analysis of the GDPR. In total, we were able to generate 18 NFR and organized them into the categories Purpose, Obligation, Ownership, Procedures and Integrity and Transparency.
39#
發(fā)表于 2025-3-28 07:55:36 | 只看該作者
Computer Vision for the Ballet Industry: A Comparative Study of Methods for Pose Recognitionf 99.375% and an Equal Error Rate (EER) of 0.119% respectively. The study additionally produced a ballet pose dataset, which serves as a contribution to the ballet and computer vision community. By combining suitable computer vision methods, the study demonstrates that successful recognition of ballet poses can be accomplished.
40#
發(fā)表于 2025-3-28 14:21:11 | 只看該作者
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