Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Bayesian Combination"'
Publikováno v:
IEEE Access, Vol 11, Pp 94732-94741 (2023)
To better capture the spatio-temporal characteristics and reduce unbalanced errors in short-term traffic prediction, an advanced Bayesian combination model with graph neural network (ABCM-GNN) is proposed. A new ABCM framework involving an error corr
Externí odkaz:
https://doaj.org/article/57d941518302483f9cbe84abb6f52ff4
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 21, Pp 2299-2311 (2021)
The geographic distribution of earthquake effects quantified in terms of macroseismic intensities, the so-called macroseismic field, provides basic information for several applications including source characterization of pre-instrumental earthquakes
Autor:
Daphne Bavelier, Lauren Spano, C. Shawn Green, Sylvie Chantal Denkinger, Claudia M. Witt, Ulrike Bingel
Publikováno v:
Journal of Cognitive Enhancement (2021)
Over the past several decades, empirical and theoretical work has focused on the question of whether it is possible to purposefully improve cognitive functioning through behavioral interventions. Accordingly, a field is emerging around cognitive trai
Akademický článek
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Publikováno v:
Sustainability, Vol 13, Iss 11198, p 11198 (2021)
Sustainability
Volume 13
Issue 20
Sustainability
Volume 13
Issue 20
The identification and classification of accident black spots on urban roads is a key element of road safety research. To solve the problems caused by the randomness of accident occurrences and the unclear classification of accident black spots by th
Autor:
Clemen, Robert T.
Publikováno v:
Management Science, 1987 Mar 01. 33(3), 373-380.
Externí odkaz:
https://www.jstor.org/stable/2631857
Autor:
Clemen, Robert T., Winkler, Robert L.
Publikováno v:
Journal of Business & Economic Statistics, 1986 Jan 01. 4(1), 39-46.
Externí odkaz:
https://www.jstor.org/stable/1391385
Autor:
Gupta, Sunil, Wilton, Peter C.
Publikováno v:
Journal of Business & Economic Statistics, 1988 Jul 01. 6(3), 373-379.
Externí odkaz:
https://www.jstor.org/stable/1391889
Publikováno v:
Evidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
Evidence-based Complementary and Alternative Medicine : eCAM
Evidence-based Complementary and Alternative Medicine : eCAM
Traditional Chinese Medicine (TCM) clinical intelligent decision-making assistance has been a research hotspot in recent years. However, the recommendations of TCM disease diagnosis based on the current symptoms are difficult to achieve a good accura
Autor:
Pietro Mascheroni, Symeon Savvopoulos, Juan Carlos López Alfonso, Michael Meyer-Hermann, Haralampos Hatzikirou
In clinical practice, a plethora of medical examinations are conducted to assess the state of a patient’s pathology producing a variety of clinical data. However, exploiting these data faces the following challenges: (C1) we lack the knowledge of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9042074bd8ed775ecd51f6007a92c264