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Updated: Sep 10, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

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フライアッシュベースの持続可能なコンクリートの最適化と予測性能は,解釈可能な機械学習技術による統合されたマルチタスクのディープラーニングフレームワークを使用します

Bhupesh P Nandurkar1, Jayant M Raut1, Pawan K Hinge1

  • 1Department of Civil Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, 441110, Maharashtra, India.

Scientific reports
|August 21, 2025
PubMed
まとめ

この研究では,フライアッシュを含むコンクリートの強さの正確な予測のためのハイブリッドAIモデルを導入しています. この解釈可能なモデルは,強度因子に関する明確な洞察を提供することで,建設の安全性と材料設計を向上させます.

キーワード:
自動ML最適化についてコンクリートの圧縮強度ディープニューラルネットワークフライアッシュの反応性グラデーションの強化マルチタスク学習の枠組み非破壊的な試験SHAPとLIMEの解釈性について

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