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03/22/2023
Challenges and opportunities for machine learning in multiscale computational modeling
Many mechanical engineering applications call for multiscale computation...
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11/15/2022
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
Artificial intelligence (AI) is rapidly emerging as an enabling tool for...
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11/08/2022
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials
Predictive simulations of the shock-to-detonation transition (SDT) in he...
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07/21/2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
We propose a federated learning method with weighted nodes in which the ...
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03/03/2021
On the role of depth predictions for 3D human pose estimation
Following the successful application of deep convolutional neural networ...
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12/18/2019
Incremental ELMVIS for unsupervised learning
An incremental version of the ELMVIS+ method is proposed in this paper. ...
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06/16/2019
Multi-scale Embedded CNN for Music Tagging (MsE-CNN)
Convolutional neural networks (CNN) recently gained notable attraction i...
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03/26/2019
What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival
Non-small-cell lung cancer (NSCLC) represents approximately 80-85 cancer...
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12/03/2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation
The research community has observed a massive success of convolutional n...
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06/20/2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks
Convolutional neural networks (ConvNets) have demonstrated an exceptiona...
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11/30/2017
A Deep Learning Framework for Short-term Power Load Forecasting
The scheduling and operation of power system becomes prominently complex...
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10/17/2017
