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Introducing the use cases of the AI-based predictive maintenance service "LUiNa." By "streamlining the maintenance of equipment across the country," it is possible to prevent equipment malfunctions and failures, as well as reduce labor hours. Additionally, through periodicity and change point detection algorithms, it can detect early signs of issues, enabling "early detection of signs before network equipment failures." [Use Cases] ■ Streamlining maintenance of equipment across the country ■ Early detection of signs before network equipment failures *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration"LUiNa" is a cloud-based service that provides easy and high-precision anomaly detection and prediction from the time-series data you possess. It can be used without specialized knowledge and supports a wide range of applications, from advanced system monitoring to the utilization of IoT data. It is a predictive service that is easy to start and continue using. 【Features】 ■ Unsupervised learning ■ Change point detection ■ Periodic pattern learning ■ Online forgetting-type learning ■ 100% domestically produced, fully scratch-developed *For more details, please download the PDF or feel free to contact us.
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