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10.23919/URSIGASS51995.2021.9560557

In the article, the fast fading influence on the proposed DL (Deep Learning) approach for LOS (Line-of-Sight) and NLOS (Non-Line-of-Sight) conditions identification in Wireless Body Area Networks is investigated.

この記事では、ワイヤレスボディエリアネットワークでのLOS（見通し内）およびNLOS（見通し外）条件の識別に対して提案されたDL（ディープラーニング）アプローチに対する高速フェージングの影響を調査します。

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Conditions Identification 条件の識別の概要

Conditions Identification 条件の識別

Encyclopedia 百科事典

Oct 07, 2024

条件の識別とは何ですか？

Conditions Identification 条件の識別 - In the article, the fast fading influence on the proposed DL (Deep Learning) approach for LOS (Line-of-Sight) and NLOS (Non-Line-of-Sight) conditions identification in Wireless Body Area Networks is investigated. ^[1]
この記事では、ワイヤレスボディエリアネットワークでのLOS（見通し内）およびNLOS（見通し外）条件の識別に対して提案されたDL（ディープラーニング）アプローチに対する高速フェージングの影響を調査します。 ^[1]