Search Results

DeepDelta: predicting ADMET improvements of molecular derivatives with deep learning.

• Authors : Fralish, Zachary¹ (AUTHOR); Chen, Ashley² (AUTHOR); Skaluba, Paul¹ (AUTHOR)

• Source: Journal of Cheminformatics. 10/27/2023, Vol. 15 Issue 1, p1-13. 13p.

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Prediction of aerodynamic flow fields using convolutional neural networks.

• Authors : Bhatnagar, Saakaar¹ (AUTHOR); Afshar, Yaser¹ (AUTHOR) ; Pan, Shaowu¹ (AUTHOR)

• Source: Computational Mechanics. Aug2019, Vol. 64 Issue 2, p525-545. 21p.

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Reducing image artifacts in sparse projection CT using conditional generative adversarial networks.

• Authors : Usui, Keisuke; Kamiyama, Sae; Arita, Akihiro

Subjects: GENERATIVE adversarial networks; IMAGE reconstruction; EXPOSURE dose

• Source: Scientific Reports; 2/16/2024, Vol. 14 Issue 1, p1-12, 12p

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Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images.

• Authors : Yacob, Filmon; Siarov, Jan; Villiamsson, Kajsa

Subjects: BASAL cell carcinoma; TRANSFORMER models; DEEP learning

• Source: Scientific Reports; 11/20/2023, Vol. 13 Issue 1, p1-10, 10p

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Extreme learning machine with kernel model based on deep learning.

• Authors : Ding, Shifei ; Guo, Lili; Hou, Yanlu

• Source: Neural Computing & Applications. Aug2017, Vol. 28 Issue 8, p1975-1984. 10p.

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Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation.

• Authors : Cao, Jin¹ (AUTHOR); Xu, Ran² (AUTHOR); Lin, Xinnan² (AUTHOR)

• Source: Neural Computing & Applications. May2023, Vol. 35 Issue 13, p9593-9606. 14p.

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A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification.

• Authors : Wang, Jiaoju; Luo, Jiewen; Hounye, Alphonse Houssou

Subjects: ANTERIOR cruciate ligament injuries; GENERATIVE adversarial networks; ORTHOPEDISTS

• Source: Neural Computing & Applications; Sep2023, Vol. 35 Issue 26, p19351-19364, 14p

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HiDeNN-FEM: a seamless machine learning approach to nonlinear finite element analysis.

• Authors : Liu, Yingjian; Park, Chanwook; Lu, Ye

Subjects: ARTIFICIAL neural networks; DEEP learning; MACHINE learning

• Source: Computational Mechanics; Jul2023, Vol. 72 Issue 1, p173-194, 22p

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Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors.

• Authors : Yoon, Jiyoung¹ (AUTHOR); Lee, Junhyeong² (AUTHOR); Kim, Giyoung³ (AUTHOR)

• Source: Scientific Reports. 11/23/2022, Vol. 12 Issue 1, p1-11. 11p.

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A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage.

• Authors : Angkurawaranon, Salita; Sanorsieng, Nonn; Unsrisong, Kittisak

Subjects: DEEP learning; INTRACRANIAL hemorrhage; BRAIN injuries

• Source: Scientific Reports; 6/20/2023, Vol. 13 Issue 1, p1-10, 10p

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