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Research on Optimization of Smoke Screen Jamming Bomb Release Strategy Based on Particle Swarm Optimization

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Τίτλος: Research on Optimization of Smoke Screen Jamming Bomb Release Strategy Based on Particle Swarm Optimization
Συγγραφείς: Shi, Jiani, Feng, Linglan, Hu, Danni, Yang, Bo, Liu, Jin
Πηγή: 2026 9th International Conference on Artificial Intelligence and Big Data (ICAIBD) Artificial Intelligence and Big Data (ICAIBD), 2026 9th International Conference on. :952-957 May, 2026
Relation: 2026 9th International Conference on Artificial Intelligence and Big Data (ICAIBD)
Βάση Δεδομένων: IEEE Xplore Digital Library
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DbLabel: IEEE Xplore Digital Library
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PubType: Conference
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  Data: Research on Optimization of Smoke Screen Jamming Bomb Release Strategy Based on Particle Swarm Optimization
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  Data: <searchLink fieldCode="AR" term="%22Shi%2C+Jiani%22">Shi, Jiani</searchLink><br /><searchLink fieldCode="AR" term="%22Feng%2C+Linglan%22">Feng, Linglan</searchLink><br /><searchLink fieldCode="AR" term="%22Hu%2C+Danni%22">Hu, Danni</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Bo%22">Yang, Bo</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Jin%22">Liu, Jin</searchLink>
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  Data: 2026 9th International Conference on Artificial Intelligence and Big Data (ICAIBD) Artificial Intelligence and Big Data (ICAIBD), 2026 9th International Conference on. :952-957 May, 2026
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  Data: 2026 9th International Conference on Artificial Intelligence and Big Data (ICAIBD)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ICAIBD69640.2026.11637233
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      Pagination:
        PageCount: 6
        StartPage: 952
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      – TitleFull: Research on Optimization of Smoke Screen Jamming Bomb Release Strategy Based on Particle Swarm Optimization
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            NameFull: Shi, Jiani
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            NameFull: Feng, Linglan
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            NameFull: Hu, Danni
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            NameFull: Yang, Bo
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            NameFull: Liu, Jin
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            – D: 29
              M: 05
              Type: published
              Y: 2026
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