검색어 : 통합검색[Libraries --Forecasting.]
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1
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Probabilistic Flood Inundation Forecasting Using Rating Curve Libraries
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Buahin, Caleb A.;
Sangwan, Nikhil;
Fagan, Cassandra;
Maidment, David R.;
Horsburgh, Jeffery S.;
Nelson, E. James;
Merwade, Venkatesh;
Rae, Curtis;
Department of Civil and Environmental Engineering and Utah Water Research Laboratory Utah State University 8200 Old Main Hill Logan Utah 84322;
Lyle School of Civil Engineering Purdue University West Lafayette Indiana 47907;
Department of Civil, Architectural and Environmental Engineering University of Texas Austin Texas 78712;
Department of Civil, Architectural and Environmental Engineering University of Texas Austin Texas 78712;
Department of Civil and Environmental Engineering and Utah Water Research Laboratory Utah State University 8200 Old Main Hill Logan Utah 84322;
Department of Civil and Environmental Engineering Brigham Young University Provo Utah 84602;
Lyle School of Civil Engineering Purdue University West Lafayette Indiana 47907;
Department of Civil and Environmental Engineering Brigham Young University Provo Utah 84602;
(Journal of the American Water Resources Association,
v.53,
2017,
pp.300-315)
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2
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A Comparative Analysis of Automated Machine Learning Libraries for Electricity Price Forecasting
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O’Leary, Christian;
Lynch, Conor;
Toosi, Farshad Ghassemi;
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(Applied computer systems,
v.29,
2024,
pp.43-52)
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3
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Constructing polynomial libraries for reservoir computing in nonlinear dynamical system forecasting
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Ren, Hu-Hu;
Bai, Yu-Long;
Fan, Man-Hong;
Ding, Lin;
Yue, Xiao-Xin;
Yu, Qing-He;
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China;
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China;
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China;
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China;
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China;
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China;
(Physical review. E,
v.109,
2024,
pp.024227)
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4
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Review of Open-Source Libraries for Solving Time Series Forecasting Problems
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Svekolnikova E.A.;
Panovskiy V.N.;
Moscow Aviation Institute (National Research University) (MAI);
Moscow Aviation Institute (National Research University) (MAI);
(Modelling and Data Analysis,
v.14,
2024,
pp.45-61)
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5
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Applications of New Weakening Buffer Operator in Forecasting Funds for Constructing Digital Libraries
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Cui, Jie;
Ma, Hongyan;
Yang, Zhengya;
Shan, Daming;
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(Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on,
v.2013,
2013,
pp.352-354)
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6
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Gold at the End of the Digital Library Rainbow: Forecasting the Consequences of Truly Effective Digital Libraries
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Keller, M. A.;
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(Lecture notes in computer science,
v.3334,
2004,
pp.84-94)
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7
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The Finnish Delphi study: forecasting the extent of information technology use in libraries in 1996 and 2010
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Koskiala, Sinnikka;
Huhtanen, Anni;
;
(The Electronic library : the international journal for minicomputer, microcomputer, and software applications in libraries,
v.7,
1989,
pp.170-175)
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8
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Segmented user demand forecasting for libraries in the 15-minute city considering users' preferences and spatial patterns
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Ko, Sungmin;
Choi, Ie-jung;
Kim, Dong-guen;
Shin, Jungwoo;
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(Cities,
v.151,
2024,
pp.105159)
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9
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Health Sciences Libraries Forecasting Information Service Trends for Researchers: Models Applicable to All Academic Libraries
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Cain Timothy J.;
Cheek Fern M.;
Kupsco Jeremy;
Hartel Lynda J.;
Getselman Anna;
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(College & Research Libraries,
v.77,
2016,
pp.595-613)
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10
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Gold at the End of the Digital Library Rainbow: Forecasting the Consequences of Truly Effective Digital Libraries
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Keller, M. A.;
;
(Asian digital libraries; Digital libraries: international collaboration and cross-fertilization: ICADL 2004,
v.2004,
2004,
pp.84-94)