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- 중장기 농산물 가격 예측을 위한 다단계 시계열 예측 모델 = A Multi-step Time Series Forecasting Model for Mid-to-Long Term Agricultural Price Prediction
- 박종현, 국민대학교 비즈니스IT전문대학원, [2023]
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- Deep Learning Models for Short term and Long-term Time Series Forecasting = 장단기 시계열 예측을 위한 딥러닝 모델
- 김도희, 부산대학교 대학원, [2024]
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3.
- 시간단위 시계열 데이터를 활용한 딥 러닝 기반 도심하천 용존산소 예측모델 개발 = Forecasting dissolved oxygen levels in urban streams using long-term hourly time-series data
- 김영우, 서울시립대학교, [2020]
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4.
- Multi-layer feed forward neural networks for foreign exchange time series forecasting
- Setyawati, Bina R, West Virginia University, [2005]
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5.
- Know the score: An exploration of keying and scoring approaches for situational judgment tests
- Muros, John Paul, University of Minnesota, [2008]
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6.
- Bayesian modeling and analysis of multivariate time series, with applications in finance and health policy
- Lourdes de Leon, Viridiana Alicia, Duke University, [2000]
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7.
- Identifying the determinants of a kaizen-suggestion system and assessing its impact on plant-level productivity : a pooled cross-sectional and time-series analysis (Japan) [microform]
- Lin, Wen-Jeng, Michigan State University, [1995]
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8.
- The keys of the kingdom: How teacher religious identity impacts their experience of teaching
- Nelson-Brown, Jason Eric, University of Washington, [2006]
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- 변동성이 심하지 않은 시계열 자료에 관한 군집화 방법 비교 : 시군구별 출산율 자료 사례분석 = Comparison of clustering methods for non-volatile time series data - Case analysis of fertility data by city, county and district
- 신효근, 호서대학교 일반대학원, [2023]
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10.
- Curvilinear Structure Detection in Images by Connected-Tube Marked Point Process and Anomaly Detection in Time Series [electronic resource]
- Li, Tianyu, Purdue University ProQuest Dissertations & Theses, [2023]