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
{"title":"The Implementation of Natural Language Processing in Manufacturing and Service Industry through Skateboard Monitoring Device","authors":"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","doi":"10.4028/p-piuwy7","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Headway","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4028/p-piuwy7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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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