Zobrazeno 1 - 10
of 17 684
pro vyhledávání: '"Ankush ."'
The May 10, 2024 space weather event stands out as the most powerful storm recorded during the current solar cycle. This study employs a numerical framework utilizing a semi-empirical coronal model, along with HUXt (Heliospheric Upwind eXtrapolation
Externí odkaz:
http://arxiv.org/abs/2411.08612
Autor:
McFarland, Ciera, Dhawan, Ankush, Kumari, Riya, Council, Chad, Coad, Margaret, Hanson, Nathaniel
Soft, growing vine robots are well-suited for exploring cluttered, unknown environments, and are theorized to be performant during structural collapse incidents caused by earthquakes, fires, explosions, and material flaws. These vine robots grow from
Externí odkaz:
http://arxiv.org/abs/2411.06615
This study investigates the impact of High-intensity Long-Duration Continuous Auroral Electrojet Activity (HILDCAA) on the relativistic electrons in radiation belt of Earth. Utilizing data from Van Allen Probe mission of NASA, we conducted a comprehe
Externí odkaz:
http://arxiv.org/abs/2410.20442
This study investigates the orbital decay and subsequent reentries of 12 Starlink satellites from 16 April to 15 May 2024. By examining Two-Line Element data, we observed a significant increase in orbital decay following the geomagnetic storm on 10 M
Externí odkaz:
http://arxiv.org/abs/2410.16254
Autor:
Xu, Shaoming, Renganathan, Arvind, Khandelwal, Ankush, Ghosh, Rahul, Li, Xiang, Liu, Licheng, Tayal, Kshitij, Harrington, Peter, Jia, Xiaowei, Jin, Zhenong, Nieber, Jonh, Kumar, Vipin
Streamflow, vital for water resource management, is governed by complex hydrological systems involving intermediate processes driven by meteorological forces. While deep learning models have achieved state-of-the-art results of streamflow prediction,
Externí odkaz:
http://arxiv.org/abs/2410.14137
Autor:
Mandati, Reddy, Chen, Po-Chen, Anderson, Vladyslav, Sapkota, Bishwa, Warren, Michael Jarrell, Besharati, Bobby, Agarwal, Ankush, Johnston III, Samuel
Understanding the exact fault location in the post-event analysis is the key to improving the accuracy of outage management. Unfortunately, the fault location is not generally well documented during the restoration process, creating a big challenge f
Externí odkaz:
http://arxiv.org/abs/2410.12056
Autor:
Mandati, Reddy, Anderson, Vladyslav, Chen, Po-chen, Agarwal, Ankush, Dokic, Tatjana, Barnard, David, Finn, Michael, Cromer, Jesse, Mccauley, Andrew, Tutaj, Clay, Dave, Neha, Besharati, Bobby, Barnett, Jamie, Krall, Timothy
In the past utilities relied on in-field inspections to identify asset defects. Recently, utilities have started using drone-based inspections to enhance the field-inspection process. We consider a vast repository of drone images, providing a wealth
Externí odkaz:
http://arxiv.org/abs/2410.11967
We study a geometric facility location problem under imprecision. Given $n$ unit intervals in the real line, each with one of $k$ colors, the goal is to place one point in each interval such that the resulting \emph{minimum color-spanning interval} i
Externí odkaz:
http://arxiv.org/abs/2410.03213
Autor:
Agarwal, Ankush, Liao, Ying
We derive a closed-form approximation for the credit default swap (CDS) spread in the two-dimensional shifted square-root diffusion (SSRD) model using asymptotic coefficient expansion technique to approximate solutions of nonlinear partial differenti
Externí odkaz:
http://arxiv.org/abs/2410.02645
Large Language Models (LLMs) have succeeded considerably in In-Context-Learning (ICL) based summarization. However, saliency is subject to the users' specific preference histories. Hence, we need reliable In-Context Personalization Learning (ICPL) ca
Externí odkaz:
http://arxiv.org/abs/2410.00149