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Updated: Sep 9, 2025

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ドリル・アンド・ブラスト・トンネルの建設時間を予測するための機械学習アプローチ

Arsalan Mahmoodzadeh1, Hamid Reza Nejati2, Nejib Ghazouani3

  • 1Center of Research and Strategic Studies, Lebanese French University, Erbil, Iraq.

Scientific reports
|August 29, 2025
PubMed
まとめ

機械学習 (ML) を使用して,ドリル・アンド・ブラスト・トンネルの建設時間を予測することが最適化されています. 高度な精度を達成し,ユーザーフレンドリーなインターフェースがリアルタイムで持続時間を推定します.

キーワード:
建設期間ドリル・アンド・ブラスト・トンネル機械学習感受性分析

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