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Seminars
- FIELD
- AI and Natural Sciences
- DATE
-
Jun 25 (Tue), 2024
- TIME
- 14:00 ~ 16:00
- PLACE
- 7323
- SPEAKER
- Minjung Gim
- HOST
- Yoon, Sangwoong
- INSTITUTE
- 국가수리과학연구소 산업수학혁신센터 / 아주대학교 자연과학대학 수학과
- TITLE
- Anomaly Detection in Smart Factory system through Transductive-based Random Cut Forest
- ABSTRACT
- The Industrial Mathematics Innovation Center at the National Institute for Mathematical Sciences is dedicated to solving diverse industrial problems through the application of industrial mathematics and AI research. Our work encompasses a range of explainable AI techniques, mathematical data analysis, and mathematical modeling to address complex problems.
In this talk, I will introduce a project conducted in collaboration with a developer of intelligent factory solutions. I will present the theory behind the transductive-based anomaly detection model, Random Cut Forest (RCF), and discuss methods to improve its limitations. This presentation aims to share insights on one-class classification anomaly detection techniques. Additionally, I will explore potential collaborative research topics with the ICIM.
- FILE
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