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For: Alghamdi D, Basulaiman K, Rajgopal J. Multi-stage deep probabilistic prediction for travel demand. APPL INTELL. [DOI: 10.1007/s10489-021-03047-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Number Cited by Other Article(s)
1
Wu J, Li X, He D, Li Q, Xiang W. Learning spatial-temporal dynamics and interactivity for short-term passenger flow prediction in urban rail transit. APPL INTELL 2023. [DOI: 10.1007/s10489-023-04508-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
2
Krichene E, Ouarda W, Chabchoub H, Abraham A, Qahtani AM, Almutiry O, Dhahri H, Alimi AM. Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method. APPL INTELL 2022. [DOI: 10.1007/s10489-022-03890-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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