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A Real‐Time VIMS Prediction Model Based on Short Long‐Term Visual Motion Features.

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Bibliographic Details
Title: A Real‐Time VIMS Prediction Model Based on Short Long‐Term Visual Motion Features.
Authors: Quan, Wei1, Yin, Zekai1, 2024101109@mails.cust.edu.cn, Yang, Yang1, Zhang, Hui1, Han, Cheng1
Source: Computer Animation & Virtual Worlds; May/Jun2026, Vol. 37 Issue 3, p1-22, 22p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194920612
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Real‐Time VIMS Prediction Model Based on Short Long‐Term Visual Motion Features.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194920612
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/cav.70154
    Languages:
      – Code: eng
        Text: English
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        PageCount: 22
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            NameFull: Quan, Wei
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            NameFull: Yin, Zekai
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            NameFull: Yang, Yang
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            NameFull: Zhang, Hui
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            – D: 01
              M: 05
              Text: May/Jun2026
              Type: published
              Y: 2026
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              Value: 37
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