Zobrazeno 1 - 10
of 3 979
pro vyhledávání: '"Cazares A"'
Autor:
Cazares, Erwin, Schuster, Brian E.
We have developed an image-based convolutional neural network (CNN) that is applicable for quantitative time-resolved measurements of the fragmentation behavior of opaque brittle materials using ultra-high speed optical imaging. This model extends pr
Externí odkaz:
http://arxiv.org/abs/2407.12972
Autor:
Escamilla-Herrera, L. F., Domínguez-Derramadero, J. M., Alba-Rosales, J. E., García-Rodríguez, F. J., Medina-Cázares, O. M., Gutiérrez-Juárez, G.
In a recent work, assuming a Beer-Lambert optical absorption and a Gaussian laser time profile, the exact solutions for a 1D-photoacoustic(PA)-boundary value problem predict a null pressure for optically strong absorbent materials. To overcome this,
Externí odkaz:
http://arxiv.org/abs/2406.13852
This paper provides an exact simulation algorithm for the sampling from the joint law of the first-passage time, the undershoot and the overshoot of a subordinator crossing a non-increasing boundary. We prove that the running time of this algorithm h
Externí odkaz:
http://arxiv.org/abs/2306.06927
We construct a fast exact algorithm for the simulation of the first-passage time, jointly with the undershoot and overshoot, of a tempered stable subordinator over an arbitrary non-increasing absolutely continuous function. We prove that the running
Externí odkaz:
http://arxiv.org/abs/2303.11964
Publikováno v:
Revista Letral. 2024, Issue 33, p165-173. 9p.
We characterise the H\"older continuity of the convex minorant of most L\'evy processes. The proof is based on a novel connection between the path properties of the L\'evy process at zero and the boundedness of the set of $r$-slopes of the convex min
Externí odkaz:
http://arxiv.org/abs/2207.12433
Autor:
Aura R. Garrison, Vanessa Moresco, Xiankun Zeng, Curtis R. Cline, Michael D. Ward, Keersten M. Ricks, Scott P. Olschner, Lisa H. Cazares, Elif Karaaslan, Collin J. Fitzpatrick, Éric Bergeron, Scott D. Pegan, Joseph W. Golden
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Crimean-Congo hemorrhagic fever virus (CCHFV) is a WHO priority pathogen. Antibody-based medical countermeasures offer an important strategy to mitigate severe disease caused by CCHFV. Most efforts have focused on targeting the viral glycopr
Externí odkaz:
https://doaj.org/article/a3c8734482f549baaa8a2f4d86fd797e
We describe the rate of growth of the derivative $C'$ of the convex minorant of a L\'evy path at times where $C'$ increases continuously. Since the convex minorant is piecewise linear, $C'$ may exhibit such behaviour either at the vertex time $\tau_s
Externí odkaz:
http://arxiv.org/abs/2206.09928
We characterise, in terms of their transition laws, the class of one-dimensional L\'evy processes whose graph has a continuously differentiable (planar) convex hull. We show that this phenomenon is exhibited by a broad class of infinite variation L\'
Externí odkaz:
http://arxiv.org/abs/2205.14416
Publikováno v:
Frontiers in Water, Vol 6 (2024)
Reinforcement Learning (RL) is a method that teaches agents to make informed decisions in diverse environments through trial and error, aiming to maximize a reward function and discover the optimal Q-learning function for decision-making. In this stu
Externí odkaz:
https://doaj.org/article/162bf3f74c4d401dbdb24183ebdd7a95