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Titlebook: Diversity, Divergence, Dialogue; 16th International C Katharina Toeppe,Hui Yan,Samuel Kai Wah Chu Conference proceedings 2021 Springer Natu

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樓主: ONSET
51#
發(fā)表于 2025-3-30 09:44:44 | 只看該作者
52#
發(fā)表于 2025-3-30 14:10:45 | 只看該作者
53#
發(fā)表于 2025-3-30 18:58:24 | 只看該作者
Comparison of Data Analytics Software Usage in Biomedical and Health Sciences Research: A Case Study Python was often used to investigate cancer genes and genetic inferences, interactions and sequencing. Overall, the prevalent adoption of SAS by UNC authors in biomedical research highlighted the importance of software availability, industry-academia collaboration, and training programs. Our findin
54#
發(fā)表于 2025-3-30 21:16:24 | 只看該作者
Post-GDPR Usage of Students’ Big-Data at UK Universitiesoption of big-data based learning analytics requires comprehensive development and implementation policies to address the challenges of learning analytics. Therefore, this research proposes such an approach through co-creation with staff and students; institutional research and staff training.
55#
發(fā)表于 2025-3-31 02:15:41 | 只看該作者
56#
發(fā)表于 2025-3-31 07:04:55 | 只看該作者
Antiepileptika (Antikonvulsiva)using the sliding window approach, taking into account not only spatial intraframe dependencies but also interframe temporal dependencies. Experiments have shown the advantage and potential for further development of the proposed approach over simple intraframe recognition.
57#
發(fā)表于 2025-3-31 10:35:45 | 只看該作者
58#
發(fā)表于 2025-3-31 14:26:56 | 只看該作者
,Ma?nahmenkatalog für Ver?nderungswillige, Python was often used to investigate cancer genes and genetic inferences, interactions and sequencing. Overall, the prevalent adoption of SAS by UNC authors in biomedical research highlighted the importance of software availability, industry-academia collaboration, and training programs. Our findin
59#
發(fā)表于 2025-3-31 18:55:04 | 只看該作者
60#
發(fā)表于 2025-3-31 22:04:59 | 只看該作者
Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venuet stages of its development. Based on the noun phrases extracted from scientific papers of AI, the authors constructed the co-occurrence network of noun phrases to visualize the context of AI. There exists a tension between the original descriptive concept of AI as defined initially in the workshop
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