Zobrazeno 1 - 10
of 913
pro vyhledávání: '"Dı́az, Jorge"'
Autor:
Schmude, Johannes, Roy, Sujit, Trojak, Will, Jakubik, Johannes, Civitarese, Daniel Salles, Singh, Shraddha, Kuehnert, Julian, Ankur, Kumar, Gupta, Aman, Phillips, Christopher E, Kienzler, Romeo, Szwarcman, Daniela, Gaur, Vishal, Shinde, Rajat, Lal, Rohit, Da Silva, Arlindo, Diaz, Jorge Luis Guevara, Jones, Anne, Pfreundschuh, Simon, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Anantharaj, Valentine, Hamann, Hendrik, Watson, Campbell, Maskey, Manil, Lee, Tsengdar J, Moreno, Juan Bernabe, Ramachandran, Rahul
Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing number of large AI models that address use cases such as forecasting, downs
Externí odkaz:
http://arxiv.org/abs/2409.13598
Fusion frames are a convenient tool in applications where we deal with a large amount of data or when a combination of local data is needed. Oblique dual fusion frames are suitable in situations where the analysis for the data and its subsequent synt
Externí odkaz:
http://arxiv.org/abs/2401.16539
Publikováno v:
Mathematical Methods in the Applied Sciences 2023
In this work, we investigate the system formed by the equations $\text{div } \vec w=g_0$ and $\text{curl } \vec w=\vec g$ in bounded star-shaped domains of $\mathbb{R}^3$. A Helmholtz-type decomposition theorem is established based on a general solut
Externí odkaz:
http://arxiv.org/abs/2302.11706
Publikováno v:
Appalachian Student Research Forum.
Introduction: Toxoplasmosis is caused by infection with the protozoan Toxoplasma gondii (T. gondii), an obligate intracellular parasite. T. gondii infects a large portion of the world’s population, but uncommonly causes clinically significant disea
Externí odkaz:
https://dc.etsu.edu/asrf/2019/schedule/137
https://dc.etsu.edu/cgi/viewcontent.cgi?article=1301&context=asrf
https://dc.etsu.edu/cgi/viewcontent.cgi?article=1301&context=asrf
Autor:
Yadav, Pappu Kumar, Thomasson, J. Alex, Searcy, Stephen W., Hardin, Robert G., Braga-Neto, Ulisses, Popescu, Sorin C., Martin, Daniel E., Rodriguez, Roberto, Meza, Karem, Enciso, Juan, Diaz, Jorge Solorzano, Wang, Tianyi
The boll weevil (Anthonomus grandis L.) is a serious pest that primarily feeds on cotton plants. In places like Lower Rio Grande Valley of Texas, due to sub-tropical climatic conditions, cotton plants can grow year-round and therefore the left-over s
Externí odkaz:
http://arxiv.org/abs/2208.00519
Autor:
Yadav, Pappu Kumar, Thomasson, J. Alex, Searcy, Stephen W., Hardin, Robert G., Braga-Neto, Ulisses, Popescu, Sorin C., Martin, Daniel E., Rodriguez, Roberto, Meza, Karem, Enciso, Juan, Diaz, Jorge Solorzano, Wang, Tianyi
To control boll weevil (Anthonomus grandis L.) pest re-infestation in cotton fields, the current practices of volunteer cotton (VC) (Gossypium hirsutum L.) plant detection in fields of rotation crops like corn (Zea mays L.) and sorghum (Sorghum bicol
Externí odkaz:
http://arxiv.org/abs/2207.07334
Autor:
Yadav, Pappu Kumar, Thomasson, J. Alex, Hardin, Robert, Searcy, Stephen W., Braga-Neto, Ulisses, Popescu, Sorin C., Martin, Daniel E., Rodriguez, Roberto, Meza, Karem, Enciso, Juan, Diaz, Jorge Solorzano, Wang, Tianyi
The cotton boll weevil, Anthonomus grandis Boheman is a serious pest to the U.S. cotton industry that has cost more than 16 billion USD in damages since it entered the United States from Mexico in the late 1800s. This pest has been nearly eradicated;
Externí odkaz:
http://arxiv.org/abs/2207.06673
A goal of unsupervised machine learning is to build representations of complex high-dimensional data, with simple relations to their properties. Such disentangled representations make easier to interpret the significant latent factors of variation in
Externí odkaz:
http://arxiv.org/abs/2206.11600
Autor:
Sage, Ethan a, b, Choudhri, Asim F. b, c, Lee-Diaz, Jorge A. b, c, 1, Bissler, John d, e, Wheless, James W. b, d, f, ⁎
Publikováno v:
In Seizure: European Journal of Epilepsy December 2024 123:148-151
Autor:
Diaz, Jorge G.
Stress corrosion cracking (SCC) is a form of failure in metals that is present mostly in systems where humidity contact and mechanical load play a key role. Therefore, prediction of the combined effect is desired. There are models based on path disso
Externí odkaz:
http://arxiv.org/abs/2111.05266