Zobrazeno 1 - 10
of 20 211
pro vyhledávání: '"Sohrab, A."'
Autor:
Kilickaya, Sertac, Ahishali, Mete, Celebioglu, Cansu, Sohrab, Fahad, Eren, Levent, Ince, Turker, Askar, Murat, Gabbouj, Moncef
The frequent breakdowns and malfunctions of industrial equipment have driven increasing interest in utilizing cost-effective and easy-to-deploy sensors, such as microphones, for effective condition monitoring of machinery. Microphones offer a low-cos
Externí odkaz:
http://arxiv.org/abs/2412.10792
Parametric Bayesian modeling offers a powerful and flexible toolbox for scientific data analysis. Yet the model, however detailed, may still be wrong, and this can make inferences untrustworthy. In this paper we study nonparametrically perturbed para
Externí odkaz:
http://arxiv.org/abs/2412.10683
Autor:
Liang, Aoming, Liu, Qi, Xu, Lei, Sohrab, Fahad, Cui, Weicheng, Song, Changhui, Gabbouj, Moncef
Numerous studies have focused on learning and understanding the dynamics of physical systems from video data, such as spatial intelligence. Artificial intelligence requires quantitative assessments of the uncertainty of the model to ensure reliabilit
Externí odkaz:
http://arxiv.org/abs/2412.10459
Autor:
Jin, Zheting, Ismail-Beigi, Sohrab
We quantitatively identify the multiple distinct microscopic mechanisms contributing to effective interlayer couplings (EICs) by performing first-principle calculations for two prototype superconducting cuprate families, pristine and doped Bi$_2$Sr$_
Externí odkaz:
http://arxiv.org/abs/2411.18446
Autor:
Nia, Sohrab Namazi, Shih, Frank Y.
Publikováno v:
S. N. Nia and F. Y. Shih, "Medical X-Ray Image Enhancement Using Global Contrast-Limited Adaptive Histogram Equalization," IJPRAI, vol. 38, no. 12, 2457010, 2024
In medical imaging, accurate diagnosis heavily relies on effective image enhancement techniques, particularly for X-ray images. Existing methods often suffer from various challenges such as sacrificing global image characteristics over local image ch
Externí odkaz:
http://arxiv.org/abs/2411.01373
Autor:
Oh, Sung-Jin, Shahshahani, Sohrab
We prove that the $3$-dimensional catenoid is asymptotically stable as a solution to the hyperbolic vanishing mean curvature equation in Minkowski space, modulo suitable translation and boost (i.e., modulation) and with respect to a codimension one s
Externí odkaz:
http://arxiv.org/abs/2409.05968
Autor:
Sarbaz, Samaneh, Rahvar, Sohrab
Publikováno v:
Monthly Notices of the Royal Astronomical Society (2024), 08, stae1938
Gravitational microlensing with binary lensing is one of the channels for detecting exoplanets. Due to the degeneracy of the lens parameters for the binary microlensing, additional features such as parallax and finite-size effects need to identify th
Externí odkaz:
http://arxiv.org/abs/2408.07134
Autor:
Radinović, Slađana, Winther, Hans A., Nadathur, Seshadri, Percival, Will J., Paillas, Enrique, Fraser, Tristan Sohrab, Massara, Elena, Woodfinden, Alex
Publikováno v:
A&A 691, A39 (2024)
Under the assumption of statistical isotropy, and in the absence of directional selection effects, a stack of voids is expected to be spherically symmetric, which makes it an excellent object to use for an Alcock-Paczy\'nski (AP) test. This is common
Externí odkaz:
http://arxiv.org/abs/2407.02699
Autor:
Rangnekar, Aneesh, Boehm, Kevin M., Aherne, Emily A., Nikolovski, Ines, Gangai, Natalie, Liu, Ying, Zamarin, Dimitry, Roche, Kara L., Shah, Sohrab P., Lakhman, Yulia, Veeraraghavan, Harini
Transformer models have demonstrated the capability to produce highly accurate segmentation of organs and tumors. However, model training requires high-quality curated datasets to ensure robust generalization to unseen datasets. Hence, we developed a
Externí odkaz:
http://arxiv.org/abs/2406.17666
Quantum homomorphic encryption (QHE), allows a quantum cloud server to compute on private data as uploaded by a client. We provide a proof-of-concept software simulation for QHE, according to the "EPR" scheme of Broadbent and Jeffery, for universal q
Externí odkaz:
http://arxiv.org/abs/2406.16247