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基于CTGAN的TinyML与智能工业功率负载使用预测,与原始和合成数据可视化,朝着工业5.0发展

Maragatharajan Muthusamy1, Aanjankumar Sureshkumar2, Poonkuntran Shanmugam2

  • 1School of Computing, SRM Institute of Science and Technology, Tiruchirappalli, India.

Scientific reports
|November 25, 2025
PubMed
概括

工业5.0中的人工智能 (AI) 增强了工业流程. 一个TinyML模型在预测能量负载类型方面实现了95%的准确性,优于其他模型,并使可持续,以人为中心的操作成为可能.

关键词:
有条件的表格生成对抗网络.生成型的人工智能 (GAI) 是一种人工智能.工业5.0 工业 5.0 工业 5.0 工业 5.0 工业负载分类 负载分类 负载分类综合数据 综合数据在TinyML中使用TinyML.

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