Zobrazeno 1 - 10
of 11 559
pro vyhledávání: '"Taj, A."'
Publikováno v:
Physics of Fluids, Volume 36 (Issue 12), 2024
This paper introduces a novel piston-driven apparatus to study the onset of cavitation in an impulsively accelerated liquid column as it compresses a closed gas volume. The experiment is monitored using high-speed videography and piezoelectric pressu
Externí odkaz:
http://arxiv.org/abs/2412.10332
Autor:
Kuo, Chao-Lin, Bartram, Chelsea L., Chou, Aaron S., Dyson, Taj A., Kurinsky, Noah A., Rybka, Gray, Wen, Osmond, Withers, Matthew O., Yi, Andrew K., Zhang, Cheng
We provide a comprehensive comparison of linear amplifiers and microwave photon-counters in axion dark matter experiments. The study is done assuming a range of realistic operating conditions and detector parameters, over the frequency range between
Externí odkaz:
http://arxiv.org/abs/2411.13776
Estimating building height from satellite imagery poses significant challenges, especially when monocular images are employed, resulting in a loss of essential 3D information during imaging. This loss of spatial depth further complicates the height e
Externí odkaz:
http://arxiv.org/abs/2411.09411
Autor:
Taj, Reyhaneh
Scientific machine learning (SciML) represents a significant advancement in integrating machine learning (ML) with scientific methodologies. At the forefront of this development are Physics-Informed Neural Networks (PINNs), which offer a promising ap
Externí odkaz:
http://arxiv.org/abs/2411.10483
Climate change poses critical challenges globally, disproportionately affecting low-income countries that often lack resources and linguistic representation on the international stage. Despite Bangladesh's status as one of the most vulnerable nations
Externí odkaz:
http://arxiv.org/abs/2410.17225
Autor:
Younas, Aqs, Khan, Arbaz, Abubakar, Hafiz Muhammad, Tahseen, Zia, Arshad, Aqeel, Taj, Murtaza, Nazir, Usman
Pakistan was hit by the world's deadliest flood in June 2022, causing agriculture and infrastructure damage across the country. Remote sensing technology offers a cost-effective and efficient method for flood impact assessment. This study is aimed to
Externí odkaz:
http://arxiv.org/abs/2410.07126
This paper presents a novel distributed robust optimization scheme for steering distributions of multi-agent systems under stochastic and deterministic uncertainty. Robust optimization is a subfield of optimization which aims in discovering an optima
Externí odkaz:
http://arxiv.org/abs/2402.16227
The process of camera calibration involves estimating the intrinsic and extrinsic parameters, which are essential for accurately performing tasks such as 3D reconstruction, object tracking and augmented reality. In this work, we propose a novel const
Externí odkaz:
http://arxiv.org/abs/2402.08437
Autor:
Dyson, Taj A., Bartram, Chelsea L., Davidson, Ashley, Ezekiel, Jonah B., Futamura, Laura M., Liu, Tongtian, Kuo, Chao-Lin
Publikováno v:
PhysRevApplied 21 (2024) L041002
We present results from the first experimental demonstration of a tunable thin-shell axion haloscope. This novel geometry decouples the overall volume of the cavity-based resonator from its resonant frequency, thereby evading the steep sensitivity de
Externí odkaz:
http://arxiv.org/abs/2402.01060
In the realm of applications where data dynamically evolves across spatial and temporal dimensions, Graph Neural Networks (GNNs) are often complemented by sequence modeling architectures, such as RNNs and transformers, to effectively model temporal c
Externí odkaz:
http://arxiv.org/abs/2310.02606