Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Harley, Joel B."'
Autor:
Tian, Zhihui, Upchurch, John, Simon, G. Austin, Dubeux, José, Zare, Alina, Zhao, Chang, Harley, Joel B.
Understanding and quantifying ecosystem services are crucial for sustainable environmental management, conservation efforts, and policy-making. The advancement of remote sensing technology and machine learning techniques has greatly facilitated this
Externí odkaz:
http://arxiv.org/abs/2406.17147
With the recent success of representation learning methods, which includes deep learning as a special case, there has been considerable interest in developing techniques that incorporate known physical constraints into the learned representation. As
Externí odkaz:
http://arxiv.org/abs/2312.13584
Mesoscale simulations of fission gas release (FGR) in nuclear fuel provide a powerful tool for understanding how microstructure evolution impacts FGR, but they are computationally intensive. In this study, we present an alternate, data-driven approac
Externí odkaz:
http://arxiv.org/abs/2310.08767
Autor:
Yan, Weishi, Melville, Joseph, Yadav, Vishal, Everett, Kristien, Yang, Lin, Kesler, Michael S., Krause, Amanda R., Tonks, Michael R., Harley, Joel B.
Experimental grain growth observations often deviate from grain growth simulations, revealing that the governing rules for grain boundary motion are not fully understood. A novel deep learning model was developed to capture grain growth behavior from
Externí odkaz:
http://arxiv.org/abs/2203.03735
Autor:
Gupta, Rishabh, Pothapragada, Satya K., Xu, Weihuang, Goel, Prateek Kumar, Barrera, Miguel A., Saldanha, Mira S., Harley, Joel B., Morgan, Kelly T., Zare, Alina, Zotarelli, Lincoln
Publikováno v:
In Computers and Electronics in Agriculture October 2024 225
Autor:
Khurjekar, Ishan D., Harley, Joel B.
Guided wave testing is a popular approach for monitoring the structural integrity of infrastructures. We focus on the primary task of damage detection, where signal processing techniques are commonly employed. The detection performance is affected by
Externí odkaz:
http://arxiv.org/abs/2202.00570
Publikováno v:
In Journal of Nuclear Materials 1 December 2024 601
Autor:
Khurjekar, Ishan D., Harley, Joel B.
Publikováno v:
In NDT and E International June 2024 144
With the recent success of representation learning methods, which includes deep learning as a special case, there has been considerable interest in developing representation learning techniques that can incorporate known physical constraints into the
Externí odkaz:
http://arxiv.org/abs/2107.09144
Autor:
Melville, Joseph, Yadav, Vishal, Yang, Lin, Krause, Amanda R., Tonks, Michael R., Harley, Joel B.
Publikováno v:
In Computational Materials Science April 2024 238