A gated recurrent unit model to predict Poisson's ratio using deep learning
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2023
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oai:scholars.utp.edu.my:366522023-07-21T02:38:14Z http://scholars.utp.edu.my/id/eprint/36652/ A gated recurrent unit model to predict Poisson's ratio using deep learning Alakbari, Fahd Saeed Mohyaldinn, Mysara Eissa Ayoub, Mohammed Abdalla Hussein, Ibnelwaleed A Muhsan, Ali Samer Ridha, Syahrir Salih, Abdullah Abduljabbar Elsevier 2023 Article NonPeerReviewed Alakbari, Fahd Saeed and Mohyaldinn, Mysara Eissa and Ayoub, Mohammed Abdalla and Hussein, Ibnelwaleed A and Muhsan, Ali Samer and Ridha, Syahrir and Salih, Abdullah Abduljabbar (2023) A gated recurrent unit model to predict Poisson's ratio using deep learning. Journal of Rock Mechanics and Geotechnical Engineering. |
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| format |
Article |
| author |
Alakbari, Fahd Saeed Mohyaldinn, Mysara Eissa Ayoub, Mohammed Abdalla Hussein, Ibnelwaleed A Muhsan, Ali Samer Ridha, Syahrir Salih, Abdullah Abduljabbar |
| spellingShingle |
Alakbari, Fahd Saeed Mohyaldinn, Mysara Eissa Ayoub, Mohammed Abdalla Hussein, Ibnelwaleed A Muhsan, Ali Samer Ridha, Syahrir Salih, Abdullah Abduljabbar A gated recurrent unit model to predict Poisson's ratio using deep learning |
| author_facet |
Alakbari, Fahd Saeed Mohyaldinn, Mysara Eissa Ayoub, Mohammed Abdalla Hussein, Ibnelwaleed A Muhsan, Ali Samer Ridha, Syahrir Salih, Abdullah Abduljabbar |
| author_sort |
Alakbari, Fahd Saeed |
| title |
A gated recurrent unit model to predict Poisson's ratio using deep learning |
| title_short |
A gated recurrent unit model to predict Poisson's ratio using deep learning |
| title_full |
A gated recurrent unit model to predict Poisson's ratio using deep learning |
| title_fullStr |
A gated recurrent unit model to predict Poisson's ratio using deep learning |
| title_full_unstemmed |
A gated recurrent unit model to predict Poisson's ratio using deep learning |
| title_sort |
gated recurrent unit model to predict poisson's ratio using deep learning |
| publisher |
Elsevier |
| publishDate |
2023 |
| url |
http://scholars.utp.edu.my/id/eprint/36652/ |
| _version_ |
1772814392930336768 |
| score |
13.222552 |