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Updated: Feb 14, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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強化学習A*とLSTM強化DWAに基づくUSVのための安全な海路計画融合アルゴリズム

Zhenxing Zhang1, Qiujie Wang2, Xiaohui Wang2

  • 1School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China.

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

本研究では,補強学習と改良されたダイナミックウィンドウアプローチ (DWA) を使用した無人地上の車両 (USV) のハイブリッド経路計画方法を紹介しています. このアプローチは,複雑な海上環境での安全性と軌道の滑らかさを高めます.

キーワード:
A*,強化学習による学習LSTM LSTMは,LSTMが,LSTMが,LSTMが,LSTMが,LSTMが,LSTMが,LSTMは,LSTMが,LSTMは,LSTMが,LSTMは,LSTMは,LSTMは,LSTMは,LSTMは,LSTMは,LSTMは,LSTMは,LSTMはダイナミックウィンドウのアプローチパス・プランニング パス・プランニング

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