Zobrazeno 1 - 10
of 265 755
pro vyhledávání: '"Reynolds BE"'
Autor:
Luna, Cristina, Eguíluz, Augusto Gómez, Barrientos-Díez, Jorge, Moreno, Almudena, Guerra, Alba, Esquer, Manuel, Seoane, Marina L., Kay, Steven, Cameron, Angus, Camañes, Carmen, Haas, Philipp, Papantoniou, Vassilios, Wedler, Armin, Rebele, Bernhard, Reynolds, Jennifer, Landgraf, Markus
Publikováno v:
2024 International Conference on Space Robotics (iSpaRo), Luxembourg, Luxembourg, 2024, pp. 145-150
This document compiles results obtained from the test campaign of the European Moon Rover System (EMRS) project. The test campaign, conducted at the Planetary Exploration Lab of DLR in Wessling, aimed to understand the scope of the EMRS breadboard de
Externí odkaz:
http://arxiv.org/abs/2411.13978
Autor:
Kim, Chanho, Park, Jaegeun, An, Hongjun, Mori, Kaya, Reynolds, Stephen P., Safi-Harb, Samar, Zhang, Shuo
We present a detailed X-ray investigation of a region (S1) exhibiting non-thermal X-ray emission within the supernova remnant (SNR) CTB 37B hosting the magnetar CXOU J171405.7$-$381031. Previous analyses modeled this emission with a power law (PL), i
Externí odkaz:
http://arxiv.org/abs/2411.09902
Autor:
Reynolds, Robert
In this work we derive a functional equation in terms of the Hurwitz-Lerch zeta function along with definite integrals in terms of the incomplete gamma and Hurwitz-Lerch zeta functions. The method used in these derivations is contour integration. Spe
Externí odkaz:
http://arxiv.org/abs/2411.04161
Autor:
Angdembe, Alisha, Iqbal, Wasim A, Hamad, Rebeen Ali, Casement, John, Consortium, AI-Multiply, Missier, Paolo, Reynolds, Nick, Henkin, Rafael, Barnes, Michael R
Understanding the temporal properties of longitudinal data is critical for identifying trends, predicting future events, and making informed decisions in any field where temporal data is analysed, including health and epidemiology, finance, geoscienc
Externí odkaz:
http://arxiv.org/abs/2411.03210
The question of how to best serve the student populations of our country is a complex topic. Since public funding is limited, we must explore the best ways to direct the money to improve student outcomes. Previous research has suggested that socio-ec
Externí odkaz:
http://arxiv.org/abs/2411.03147
Investment Analysis is a cornerstone of the Financial Services industry. The rapid integration of advanced machine learning techniques, particularly Large Language Models (LLMs), offers opportunities to enhance the equity rating process. This paper e
Externí odkaz:
http://arxiv.org/abs/2411.00856
Autor:
Amrollahi, Daneshvar, Preiner, Mathias, Niemetz, Aina, Reynolds, Andrew, Charikar, Moses, Tinelli, Cesare, Barrett, Clark
In many applications, SMT solvers are used to solve similar or identical tasks over time. When the performance of the solver varies significantly despite only small changes, this leads to frustration for users. This has been called the stability prob
Externí odkaz:
http://arxiv.org/abs/2410.22419
Autor:
Seymour, Nick, Broderick, Jess W., Noirot, Gael, Turner, Ross J., Hedge, A. J., Gupta, Anshu, Reynolds, Cormac, An, Tao, Emonts, Bjorn, Ross, Kat, Stern, Daniel, Afonso, Jose M.
The bright radio source, GLEAM J091734-001243 (hereafter GLEAM J0917-0012), was previously selected as a candidate ultra-high redshift (z>5) radio galaxy due to its compact radio size and faint magnitude (K(AB)=22.7). Its redshift was not conclusivel
Externí odkaz:
http://arxiv.org/abs/2410.20609
The steepest-entropy-ascent quantum thermodynamics (SEAQT) framework is employed to describe the adsorption process of arsenic (V) onto graphene oxide both in and out of equilibrium. The steepest-entropy-ascent principle is used to derive a non-equil
Externí odkaz:
http://arxiv.org/abs/2410.05157
This work outlines the foundations for being able to do a first-principle study of the adsorption process using the steepest-entropy-ascent quantum thermodynamic (SEAQT) framework, a framework able to predict the unique non-equilibrium path taken by
Externí odkaz:
http://arxiv.org/abs/2410.04725