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Keywords: Structural analysis, bridge design, seismic isolation bearings, reliability design, evaluation of existing bridges.

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Promoting data utilization in the IoT era! One-stop support from issue identification to systematization and improvement proposals.

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[6/7 Seminar] Early Detection of Equipment Troubles with No Prior Experience - AI-based Anomaly Prediction Without the Need for Abnormal Data - Ube Information Systems

In building an anomaly detection system using AI, there are various barriers such as "no abnormal data," "lack of accumulated big data," and "uncertainty about the construction process." Additionally, even after construction, issues like "high false positives" and "not being used on-site" tend to arise. The "Anomaly Detection System Construction Service" we are introducing this time provides a comprehensive service from preliminary analysis to utilization support, tailored to fit the needs of various manufacturing sites and customers for building AI systems. It can be constructed even without abnormal data or accumulated big data, and it can detect troubles that have not been experienced in the past. In this seminar, we will cover key points for constructing an AI anomaly detection system, including: - Data preparation and preprocessing - Elimination of the need for skilled maintenance techniques - Algorithm selection - How to trigger alerts This seminar is especially recommended for those who are considering building an anomaly detection system using AI but are unsure about how to implement it concretely. Since it is a web seminar, please feel free to join us.

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