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Recurrent Neural Network Based IOS Mobile Applications ...
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由 A Fatty 著作2022被引用 2 次 — This study ingeniously creates two recurrent neural network IOS-based mobile applications for the safety assessment of rock slopes.
Recurrent Neural Network Based IOS Mobile Applications ...
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2024年10月22日 — This study ingeniously creates two recurrent neural network IOS-based mobile applications for the safety assessment of rock slopes. The first ...
Recurrent Neural Network Based IOS Mobile Applications ...
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由 A Fatty 著作2022被引用 2 次 — The IOS APPs take data from the deep learning models designed using RNN, and the results are displayed whenever a user performs a safety assessment. Our Apps ...
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Recurrent Neural Network Based IOS Mobile Applications for ...
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The primary rating indicates the level of overall quality for the paper. Secondary ratings independently reflect strengths or weaknesses of the paper.
Abdoulie Fatty
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Recurrent neural network based IOS mobile applications for slope safety assessment. A Fatty, AJ Li, LH Chen. IEEE Consumer Electronics Magazine, 2022. 2, 2022.
李安叡 - 營建工程系- 國立臺灣科技大學
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Fatty A, Li AJ, Chen LS (2022), "Recurrent Neural Network Based IOS Mobile Applications for Slope Safety Assessment", IEEE Consumer Electronics Magazine, ( ...
Recurrent neural networks for complicated seismic ...
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2024年10月22日 — Recurrent Neural Network Based IOS Mobile Applications for Slope Safety Assessment. Article. Full-text available. Jan 2022.
Prediction of safety factors for slope stability
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Classification of slopes and prediction of factor of safety using differential evolution neural networks · Engineering, Computer Science · 2011.
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Download Options. Read It HerePublisher · Recurrent Neural Network Based IOS Mobile Applications for Slope Safety Assessment. Authors. Abdoulie Fatty · ORCID ID ...
An interpretable evolutionary extreme gradient boosting ...
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... slopes based on extreme learning neural network. J Chin Inst Eng 43 ... Recurrent neural network based IOS mobile applications for slope safety assessment.