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Titlebook: Data Science—Analytics and Applications; Proceedings of the 5 Peter Haber,Thomas J. Lampoltshammer,Manfred Mayr Conference proceedings 2024

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樓主: CYNIC
21#
發(fā)表于 2025-3-25 04:36:25 | 只看該作者
Taxonomy-Enhanced Document Retrieval with Dense Representationsin corpus. It does so without requiring any further retraining of the machine learning models involved, thus making it applicable for use cases where training is not feasible because of data or infrastructure limitations.
22#
發(fā)表于 2025-3-25 08:31:22 | 只看該作者
A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications part. Following the installation of rivets, blue products must be transported to the exit, while green products are to be transported to storage. The study focuses on the application of reinforcement learning techniques to address this problem and improve the efficiency of the production process.
23#
發(fā)表于 2025-3-25 12:27:21 | 只看該作者
Towards Measuring Vulnerabilities and Exposures in Open-Source Packagesape and its most popular package managers, we discuss approaches to map entries of the Common Vulnerabilities and Exposures (CVE) list to open-source libraries and we show the frequency and distribution of existing CVE entries with respect to popular programming languages.
24#
發(fā)表于 2025-3-25 18:12:44 | 只看該作者
First Insight into Social Media User Sentiment Spreading Potential to Enhance the Conceptual Model ftiment and temporal network analysis to calculate a user’s potential for spreading information of different sentiment. This algorithm should be useful in the process of disinformation detection in the part of user profiling.
25#
發(fā)表于 2025-3-25 23:06:27 | 只看該作者
26#
發(fā)表于 2025-3-26 00:18:17 | 只看該作者
27#
發(fā)表于 2025-3-26 05:31:49 | 只看該作者
28#
發(fā)表于 2025-3-26 12:13:30 | 只看該作者
29#
發(fā)表于 2025-3-26 13:07:47 | 只看該作者
30#
發(fā)表于 2025-3-26 16:52:20 | 只看該作者
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