Zobrazeno 1 - 10
of 18 885
pro vyhledávání: '"Routray, A."'
Autor:
Anaraki, Nazanin Tabatabaei, Ng, Taneisha, Verma, Gaurav, Fu, Yu, O'Connell, Martin, Hull, Matthew, Routray, Susanta, Roozbahani, Max Mahdi, Chau, Duen Horng
Team projects in Computer Science (CS) help students build collaboration skills, apply theory, and prepare for real-world software development. Online classes present unique opportunities to transform the accessibility of CS education at scale. Still
Externí odkaz:
http://arxiv.org/abs/2412.11046
Autor:
Routray, Hardik, Hientzsch, Bernhard
We propose a simple methodology to approximate functions with given asymptotic behavior by specifically constructed terms and an unconstrained deep neural network (DNN). The methodology we describe extends to various asymptotic behaviors and multiple
Externí odkaz:
http://arxiv.org/abs/2411.05257
Multi-modal image fusion (MMIF) enhances the information content of the fused image by combining the unique as well as common features obtained from different modality sensor images, improving visualization, object detection, and many more tasks. In
Externí odkaz:
http://arxiv.org/abs/2411.04519
Though the BB84 protocol has provable security over a noiseless quantum channel, the security is not proven over current noisy technology. The level of tolerable error on such systems is still unclear, as is how much information about a raw key may b
Externí odkaz:
http://arxiv.org/abs/2409.16284
Non-invasive and continuous blood pressure (BP) monitoring is essential for the early prevention of many cardiovascular diseases. Estimating arterial blood pressure (ABP) from photoplethysmography (PPG) has emerged as a promising solution. However, e
Externí odkaz:
http://arxiv.org/abs/2409.09021
Improving the quality of underwater images is essential for advancing marine research and technology. This work introduces a sparsity-driven interpretable neural network (SINET) for the underwater image enhancement (UIE) task. Unlike pure deep learni
Externí odkaz:
http://arxiv.org/abs/2409.01022
Publikováno v:
J. Phys. G 51, 085203 (2024)
The equation of state of hot neutron star matter of n+p+e+$\mu$ composition in $\beta$-equilibrium is studied for both neutrino-free isothermal and neutrino-trapped isentropic conditions, using the formalism where the thermal evolution is built upon
Externí odkaz:
http://arxiv.org/abs/2404.05910
Autor:
Goldstein, Shoshana1 (AUTHOR)
Publikováno v:
Journal of the American Planning Association. 2023, Vol. 89 Issue 4, p604-605. 2p.
Differential privacy (DP) is increasingly used to protect the release of hierarchical, tabular population data, such as census data. A common approach for implementing DP in this setting is to release noisy responses to a predefined set of queries. F
Externí odkaz:
http://arxiv.org/abs/2401.18024
Seismic inversion is crucial in hydrocarbon exploration, particularly for detecting hydrocarbons in thin layers. However, the detection of sparse thin layers within seismic datasets presents a significant challenge due to the ill-posed nature and poo
Externí odkaz:
http://arxiv.org/abs/2401.04393