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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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掘削トンネルの移動を予測する新しい機械学習型インテリジェントモデルの開発

Abdollah Tabaroei1, Muhand Jawad Jasim2, Ali Mohammed Al-Araji3

  • 1Department of Civil Engineering, Eshragh Institute of Higher Education, Bojnourd, Iran. a.tabaroei@eshragh.ac.ir.

Scientific reports
|August 22, 2025
PubMed
まとめ

新しい機械学習モデルは 都市部での掘削による トンネル移動を予測します 地下鉄のトンネルなどの 建設中のリスクの評価に役立ちます

キーワード:
掘削トンネルへの対応機械学習新しいスマートモデル数値シミュレーショントンネル移動

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
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