1 citations · 1 across the 3 of their papers we have counts for
6 papers
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features
Qingfeng Xu, Zhenguo Nie, Handing Xu +2
In stress field analysis, the finite element analysis is a crucial approach, in which the mesh-density has a significant impact on the results. High mesh density usually contribute…
SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain
Handing Xu, Zhenguo Nie, Qingfeng Xu +1
Due to the limit of mesh density, the improvement of the spatial precision of numerical computation always leads to a decrease in computing efficiency. Aiming at this inability of…
Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients
Chenglin Pan, Kuan Yan, Xiao Liu +5
Artificial intelligence methods have been increasingly turning into a potentially powerful tool in the diagnosis and management of diseases. In this study, we utilized logistic reg…
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction
Haoliang Jiang, Zhenguo Nie, Roselyn Yeo +2
Using deep learning to analyze mechanical stress distributions has been gaining interest with the demand for fast stress analysis methods. Deep learning approaches have achieved ex…
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
Zhenguo Nie, Tong Lin, Haoliang Jiang +1
In topology optimization using deep learning, load and boundary conditions represented as vectors or sparse matrices often miss the opportunity to encode a rich view of the design…
The TauSpinner approach for electroweak corrections in LHC Z to ll observables
E. Richter-Was, Z. Was
The LHC enters era of the Standard Model Z-boson couplings precise measurements, to match precision of LEP. The calculations of electroweak (EW) corrections in the Monte Carlo gene…