Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning framework. [PDF]
Su X, Gao J, Han K, Kim H, Jung H.
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Contributions to errors-in-variables model identification
System identification is an established field in the area of system analysis and control. It aims at determining mathematical models for dynamical systems based on measured data. Most of the techniques that have been developed assume the input signal to be perfectly known.
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Bridging the sustainability gap: the impact of business-government relations on corporate carbon monitoring in developing countries. [PDF]
Khan K +5 more
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Fire safety training for workers: an investigation into how learning modalities in VR relate to performance and self-evaluations. [PDF]
Muffato V +4 more
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Harmonizing Terrestrial Carbon Cycle Observations Over CONUS NEON Sites: Assessing the Information Contributions of Multiple Data Constraints. [PDF]
Zhang D +4 more
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Modeling mechanical properties of rubberized concrete using gene expression programming (GEP) and random forest: a comparative study. [PDF]
Sheraz M +7 more
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Modeling and predicting water consumption in fattening pigs using autoregressive moving average with external parameters. [PDF]
Marroco M +3 more
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Motivational dynamics in technology-enhanced learning: a parsimonious model of self-efficacy, ICT use, and mathematics achievement. [PDF]
Zhang Q, Zhou Q, Song M.
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The potential impacts of regional artificial intelligence development on depressive symptoms in older adults: evidence from China. [PDF]
Wan S, Liang Y, Ding Z, Tang Y, Yang L.
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How do omission and commission errors of trait memory distrust relate to immediate and delayed suggestibility as measured by the Gudjonsson Suggestibility Scale? [PDF]
Gudjonsson G, Giostra V, Vagni M.
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