通过滑板监测设备在制造业和服务业中实现自然语言处理

Tia Tanjung, R. Muhida, Muhammad Riza, Ari Kurniawan Saputra, E. Erlangga, Nofian Pratama, F. Ariani, Taqwan Thamrin, R. Y. Endra, A. K. Puspa, W. Susanty, A. Cucus
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引用次数: 0

摘要

近年来,人工智能(AI)在制造业和服务业的应用突飞猛进。其中一个突出的方面就是利用自然语言处理(NLP)来促进人机交互,提高效率和用户体验。本期刊以滑板监控设备为重点,探讨了 NLP 在制造业和服务业中的应用。我们展示了 NLP 如何改进滑板生产中的分析、预测和个性化,为用户提供互动性更强、信息更丰富的体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Implementation of Natural Language Processing in Manufacturing and Service Industry through Skateboard Monitoring Device
The application of artificial intelligence (AI) in the manufacturing and service industries has witnessed rapid advancements in recent years. One prominent aspect is the utilization of Natural Language Processing (NLP) to facilitate human-machine interactions and enhance efficiency and user experience. This journal explores the implementation of NLP in the context of the manufacturing and service industry, focusing on the skateboard monitoring device. We demonstrate how NLP can improve analysis, prediction, and personalization in skateboard production, providing users with a more interactive and informative experience.
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