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Titlebook: Big Data Analytics in Astronomy, Science, and Engineering; 10th International C Shelly Sachdeva,Yutaka Watanobe,Subhash Bhalla Conference p

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樓主: arouse
41#
發(fā)表于 2025-3-28 18:20:54 | 只看該作者
42#
發(fā)表于 2025-3-28 18:49:33 | 只看該作者
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發(fā)表于 2025-3-29 02:00:55 | 只看該作者
Integrated Transmission and?Distribution Modelling Using Multi-agent Based Frameworkectors are introducing nascent challenges and opportunities in power generation, transmission, and distribution systems. Conventionally, the transmission and distribution systems were analyzed in a segregated manner under the assumption that the aggregate load subtended by the distribution systems a
44#
發(fā)表于 2025-3-29 05:39:06 | 只看該作者
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發(fā)表于 2025-3-29 10:15:39 | 只看該作者
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發(fā)表于 2025-3-29 13:55:42 | 只看該作者
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發(fā)表于 2025-3-29 18:58:25 | 只看該作者
https://doi.org/10.1007/978-3-642-33096-4ms can do large-scale analyses on diverse data with little support from metadata, using such methods on widely dispersed, extremely diverse, and dynamic data may not necessarily produce trustworthy findings. One such task is identifying the impact of indicators for various Sustainable Development Go
48#
發(fā)表于 2025-3-29 20:40:57 | 只看該作者
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發(fā)表于 2025-3-30 01:57:03 | 只看該作者
China Interviews Qualitative Results,es; these latter “events” we call background. The statistical problem, or data analytics problem, lies in discerning the signal in the large background i.e., the proverbial needle in a haystack. We see here how the analysis benefits from high dimensionality via successively reducing the background a
50#
發(fā)表于 2025-3-30 06:53:35 | 只看該作者
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