20 citations · 36 across the 6 of their papers we have counts for
6 papers
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy
Wyatt Bridgman, Uma Balakrishnan, Reese Jones +5
In the field of surrogate modeling, polynomial chaos expansion (PCE) allows practitioners to construct inexpensive yet accurate surrogates to be used in place of the expensive forw…
Rational design of nanoscale stabilized oxide catalysts for OER with OC22
Richard Tran, Liqiang Huang, Yuan Zi +12
The efficiency of production via water electrolysis is typically limited to the sluggish oxygen evolution reaction (OER). As such, significant emphasis has been placed upon i…
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
Han Lu, Mohammad Khalil, Thomas Catanach +5
In the context of Bayesian inversion for scientific and engineering modeling, Markov chain Monte Carlo sampling strategies are the benchmark due to their flexibility and robustness…
First arrival picking using U-net with Lovasz loss and nearest point picking method
Pengyu Yuan, Wenyi Hu, Xuqing Wu +2
We proposed a robust segmentation and picking workflow to solve the first arrival picking problem for seismic signal processing. Unlike traditional classification algorithm, image…
Progressive transfer learning for low frequency data prediction in full waveform inversion
Wenyi Hu, Yuchen Jin, Xuqing Wu +1
For the purpose of effective suppression of the cycle-skipping phenomenon in full waveform inversion (FWI), we developed a Deep Neural Network (DNN) approach to predict the absent…
Access Control in Internet of Things: A Survey
Yunpeng Zhang, Xuqing Wu
Cheating is a real problem in the Internet of Things. The fundamental question that needs to be answered is how we can trust the validity of the data being generated in the first p…