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Titlebook: Data Analytics for Internet of Things Infrastructure; Rohit Sharma,Gwanggil Jeon,Yan Zhang Book 2023 The Editor(s) (if applicable) and The

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51#
發(fā)表于 2025-3-30 12:14:28 | 只看該作者
52#
發(fā)表于 2025-3-30 14:59:24 | 只看該作者
Civil Litigation in China and Europeion (ACO) is deployed to determine the rating of the group members’ for future recommendation. In this way, sparsity problems will be optimized in a recommender system. A real-time dataset named as Movielens is used to validate the proposed model. Finally, deploy k-fold cross validation to evaluate the performance metric.
53#
發(fā)表于 2025-3-30 19:59:18 | 只看該作者
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發(fā)表于 2025-3-30 23:31:28 | 只看該作者
Development of Laser-Beam Cutting-Edge Technology and IOT-Based Race Car Lapse Time Computational Sed to sense the number of lapses made by the racing vehicle, and lapse details are uploaded to the google cloud. The proposed system supports maximum laps width of 12?m and a computing time delay of 1–10?ns.
55#
發(fā)表于 2025-3-31 02:15:30 | 只看該作者
56#
發(fā)表于 2025-3-31 05:47:36 | 只看該作者
Text Summarization for Big Data Analytics: A Comprehensive Review of GPT 2 and BERT Approaches,ccuracy and they need to be compared to give a model that performs better. In this chapter, the two models have been compared and our results have shown that BERT performs better than GPT 2. This is found based on the results given by ROUGE metrics on a news article dataset containing 100 text files to summarize.
57#
發(fā)表于 2025-3-31 11:07:54 | 只看該作者
https://doi.org/10.1007/978-3-031-33808-3big data; data analytics; Business Intelligence; big data analytics; Big data with Hadoop; machine learni
58#
發(fā)表于 2025-3-31 16:09:26 | 只看該作者
978-3-031-33810-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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