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???????????????? ????????? ??? ??????????????? 2 ??????????? ??? ????????????????? (Stock. Preparation) ?????????????????? (Paper. Making) ????????????????????? 2,000 ??.?./???. ??????????????????????????????????????. ???????????????????? - ?????????????????????????????????? ??? ?????????????????????????????????????????????????????????????????. ????????????????????? ????????????????????????????????????????????????????????????????????????? (??????? ?????. ?? ... ???????????????? ???????????????????????? ?????????????????????????????????????????????? ???? ????????????????????????????. ???????????????????????????????????????????????????????????????????????? ?????????????. ????????????????????????? ???? ????????????? ???????2565??????????????????????????? 52-53. ???????????? 2552 ???????? ? 2553. 6. ????????????????????? ?????? ???????? ??. 13. ????????????? ????????????????? . ?????????????? ???7 - ???????????????? ??????????. ????????? ???????. ???????? ????????? ? ?????????. ???????? ?????????????????. ????????? ????. ?????????????. ???????????? ?? ??????. ?? ? ???? ?? ??? ??????????. ???? ... Anomaly Detection and Approximate Similarity Searches of ...No relevant rules were discovered for lubrication problems, which was an event with only six events over the year and therefore extremely rare. Advancing Video Anomaly Detection: A Concise Review and a New ...Our study focuses on the detection of anomalous events in a context of surveillance videos. One problem found in anomalous event detection is that the analysis ... Deep Abnormality Detection in Video Data - IJCAIThis paper conceptualizes the COVID-19 pandemic as a ?rare event.? Rare events channel managerial attention to magnified issues and foster resource ... Summary - IN2P3 Events Directory (Indico)Abstract. The paper addresses the tasks of anomaly detection and ex- planation simultaneously, in the human-in-the-loop paradigm integrating. Anne Sabourin ? 2022- . . . : Professor at Université Paris Cité (MAP5 ...outputting anomalies in a detailed yet concise manner. Rare but significant events that are hard to find can be detected automatically. The ... Decentralized Anomaly Detection via Deep Multi-Agent ...anomalous events are often very rare, which results in highly imbalanced training datasets. Even worse, in most cases the datasets are unlabeled, so that it ... Anomaly detection and event mining in cold forming manufacturing ...By definition, anomalous events are rare and can be cumbersome to collect. Therefore, anomaly detection is commonly approached as a one-class classification ( ...
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