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A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet
Published 2025-01-01“…This method harnesses the capability of dBGs to encapsulate and project future states from historical sequences, thus enhancing predictive analytics in time series. Our approach is multi-faceted, involving: 1) encoding time series data as a dBG; 2) the application of graph representation learning, specifically struct2vec, to distill salient features from dBG constructed from time series and 3) the seamless integration of these extracted features into the state of the art TimesNet model to bolster short-term forecasting accuracy. …”
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The Effect of Using Ramps with Trench Cylindrical Holes on Film Cooling Effectiveness
Published 2015-10-01Get full text
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Understanding the Factors Influencing the Number of Extracurricular Clubs in American High Schools
Published 2025-07-01Get full text
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Capillary Effects on Surface Enhancement in a Non-Homogeneous Fibrous Porous Medium
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Nucleon decay as a probe of flavor symmetry: the case of fake unification
Published 2025-03-01Get full text
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Impact of QCD sum rules coupling constants on neutron stars structure
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Golgi protein 73 and IL-6 as strong predictors of short-term prognosis in patients with HBV-ACLF
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Implications of Solar Radiation Modification on Rainfall and Temperature Patterns over Eastern Africa
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The effect and mechanism of Germacrone in ameliorating alcoholic fatty liver by inhibiting Nrf2/Rbp4
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Early Detection of Soil Salinization by Means of Spaceborne Hyperspectral Imagery
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Association between alkaline phosphatase and cancer in American adults: 2003–2016 NHANES
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