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Refinado por: assunto: Artificial Neural Networks remover
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Direct mineral content prediction from drill core images via transfer learning
Direct mineral content prediction from drill core images via transfer learning
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Direct mineral content prediction from drill core images via transfer learning

Boiger, Romana ; Churakov, Sergey V. ; Ballester Llagaria, Ignacio ; Kosakowski, Georg ; Wüst, Raphael ; Prasianakis, Nikolaos I.

Swiss Journal of geosciences, 2024-12, Vol.117 (1), p.8-26, Article 8 [Periódico revisado por pares]

Cham: Springer International Publishing

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Drowsiness detection in real-time via convolutional neural networks and transfer learning
Drowsiness detection in real-time via convolutional neural networks and transfer learning
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Drowsiness detection in real-time via convolutional neural networks and transfer learning

Salem, Dina ; Waleed, Mohamed

Journal of engineering and applied science (Online), 2024-12, Vol.71 (1), p.122-15, Article 122 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
GraphEGFR: Multi‐task and transfer learning based on molecular graph attention mechanism and fingerprints improving inhibitor bioactivity prediction for EGFR family proteins on data scarcity
GraphEGFR: Multi‐task and transfer learning based on molecular graph attention mechanism and fingerprints improving inhibitor bioactivity prediction for EGFR family proteins on data scarcity
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GraphEGFR: Multi‐task and transfer learning based on molecular graph attention mechanism and fingerprints improving inhibitor bioactivity prediction for EGFR family proteins on data scarcity

Boonyarit, Bundit ; Yamprasert, Nattawin ; Kaewnuratchadasorn, Pawit ; Kinchagawat, Jiramet ; Prommin, Chanatkran ; Rungrotmongkol, Thanyada ; Nutanong, Sarana

Journal of computational chemistry, 2024-09, Vol.45 (23), p.2001-2023 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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4
Road Surface Condition Monitoring in Extreme Weather Using a Feature-Learning Enhanced Mask–RCNN
Road Surface Condition Monitoring in Extreme Weather Using a Feature-Learning Enhanced Mask–RCNN
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Road Surface Condition Monitoring in Extreme Weather Using a Feature-Learning Enhanced Mask–RCNN

Bai, Zhiyuan ; Wang, Yue ; Zhang, Ancai ; Wei, Hao ; Pan, Guangyuan

Journal of transportation engineering. Part B, Pavements, 2024-09, Vol.150 (3) [Periódico revisado por pares]

Reston: American Society of Civil Engineers

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5
Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework
Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework
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Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework

Asif, Hafiz M. ; Khan, Saddam Hussain ; Alahmadi, Tahani Jaser ; Alsahfi, Tariq ; Mahmoud, Amena

Complex & intelligent systems, 2024-08, Vol.10 (4), p.4835-4851 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation: New open database and comprehensive evaluation
Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation: New open database and comprehensive evaluation
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Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation: New open database and comprehensive evaluation

Liu, Fangyu ; Ding, Wenqi ; Qiao, Yafei ; Wang, Linbing

Underground space (Beijing), 2024-08, Vol.17, p.60-81 [Periódico revisado por pares]

Shanghai: Elsevier B.V

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7
A Framework for Predicting the Gas-Bearing Distribution of Unconventional Reservoirs by Deep Learning
A Framework for Predicting the Gas-Bearing Distribution of Unconventional Reservoirs by Deep Learning
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A Framework for Predicting the Gas-Bearing Distribution of Unconventional Reservoirs by Deep Learning

Yang, Jiuqiang ; Lin, Niantian ; Zhang, Kai ; Jia, Lingyun ; Fu, Chao

Natural resources research (New York, N.Y.), 2024-08, Vol.33 (4), p.1625-1655 [Periódico revisado por pares]

New York: Springer US

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8
Abnormal state prediction of flotation process based on dual attention mechanism and multivariate information fusion
Abnormal state prediction of flotation process based on dual attention mechanism and multivariate information fusion
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Abnormal state prediction of flotation process based on dual attention mechanism and multivariate information fusion

Wang, Shu ; Fu, Yu ; Zhang, Lin ; Li, Xinghua

Canadian journal of chemical engineering, 2024-08, Vol.102 (8), p.2818-2829 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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9
Residual network improves the prediction accuracy of genomic selection
Residual network improves the prediction accuracy of genomic selection
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Residual network improves the prediction accuracy of genomic selection

Wu, Huaxuan ; Gao, Bingxi ; Zhang, Rong ; Huang, Zehang ; Yin, Zongjun ; Hu, Xiaoxiang ; Yang, Cai‐Xia ; Du, Zhi‐Qiang

Animal genetics, 2024-08, Vol.55 (4), p.599-611 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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10
Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network
Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network
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Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network

Kim, Byeongcheol ; Lee, Kyungil ; Park, Seonyoung

Remote sensing (Basel, Switzerland), 2024-07, Vol.16 (14), p.2629 [Periódico revisado por pares]

Basel: MDPI AG

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