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Iftikhar Rasheed – författare

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4 produkter

  1. Iftikhar Rasheed, Fei Hu - Deep Learning and Its Applications for Vehicle Networks, E-bok. Tillgänglighet: Lägg i varukorg

    Deep Learning and Its Applications for Vehicle Networks

    Av Iftikhar Rasheed, Fei Hu

    E-bok, 2023

    847 kr

    Lägg i varukorg

    Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory …

  2. Iftikhar Rasheed, Fei Hu - Deep Learning and Its Applications for Vehicle Networks, E-bok. Tillgänglighet: Lägg i varukorg

    Deep Learning and Its Applications for Vehicle Networks

    Av Iftikhar Rasheed, Fei Hu

    E-bok, 2023

    847 kr

    Lägg i varukorg

    Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory …

  3. Fei Hu, Iftikhar Rasheed - Deep Learning and Its Applications for Vehicle Networks, Inbunden. Tillgänglighet: Lägg i varukorg

    Deep Learning and Its Applications for Vehicle Networks

    Av Fei Hu, Iftikhar Rasheed

    Inbunden, 2023

    1826 kr

    Lägg i varukorg

    Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory …

  4. Fei Hu, Iftikhar Rasheed - Deep Learning and Its Applications for Vehicle Networks, Häftad. Tillgänglighet: Lägg i varukorg

    Deep Learning and Its Applications for Vehicle Networks

    Av Fei Hu, Iftikhar Rasheed

    Häftad, 2024

    757 kr

    Lägg i varukorg

    Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory …