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Updated: Feb 14, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

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CNOSSOS-EUメソッドを用いた道路騒音推定における交通入力データ品質の影響

Elena Ascari1, Cătălin Andrei Neagoe2,3, Mauro Cerchiai1

  • 1Institute of Chemical and Physical Processes of National Research Council, 56123 Pisa, Italy.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究では,道路騒音マッピングのための交通データを評価し,レーダーカウンターとAIカメラが信頼性の高い入力を提供することを発見しました. しかし,すべての方法では,特に短い間隔で,低評価された騒音レベルにつながるトラフィック損失を示しました.

キーワード:
AI カメラ AI カメラCNOSSOS-EUは,CNSSOS-EUと一致している.グーグル API グーグル API環境騒音評価 環境騒音評価騒音モデリングレーダー・トラフィックカウンター道路交通のモニタリング道路交通の騒音について戦略的なノイズマッピング交通データ収集 交通データ収集

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