Zobrazeno 1 - 10
of 33 560
pro vyhledávání: '"RAUF, A."'
Embeddings are now used to underpin a wide variety of data management tasks, including entity resolution, dataset search and semantic type detection. Such applications often involve datasets with numerical columns, but there has been more emphasis pl
Externí odkaz:
http://arxiv.org/abs/2410.07485
Autor:
Bothwell, Tobias, Brand, Wesley, Fasano, Robert, Akin, Thomas, Whalen, Joseph, Grogan, Tanner, Chen, Yun-Jhih, Pomponio, Marco, Nakamura, Takuma, Rauf, Benjamin, Baldoni, Ignacio, Giunta, Michele, Holzwarth, Ronald, Nelson, Craig, Hati, Archita, Quinlan, Franklyn, Fox, Richard, Peil, Steven, Ludlow, Andrew
We report on the first deployment of a ytterbium (Yb) transportable optical lattice clock (TOLC), commercially shipping the clock 3,000 km from Boulder, Colorado to Washington DC. The system, composed of a rigidly mounted optical reference cavity, at
Externí odkaz:
http://arxiv.org/abs/2409.16264
Autor:
Gudmundsson, Vidar, Mughnetsyan, Vram, Goan, Hsi-Sheng, Chai, Jeng-Da, Abdullah, Nzar Rauf, Tang, Chi-Shung, Moldoveanu, Valeriu, Manolescu, Andrei
We employ a ``real-time'' excitation scheme to calculate the excitation spectra of a two-dimensional electron system in a square array of quantum dots placed in a circular cylindrical far-infrared photon cavity subjected to a perpendicular homogeneou
Externí odkaz:
http://arxiv.org/abs/2409.09936
Accurate nuclei segmentation is an essential foundation for various applications in computational pathology, including cancer diagnosis and treatment planning. Even slight variations in nuclei representations can significantly impact these downstream
Externí odkaz:
http://arxiv.org/abs/2407.19186
Autor:
Severi, Giorgio, Boboila, Simona, Holodnak, John, Kratkiewicz, Kendra, Izmailov, Rauf, De Lucia, Michael J., Oprea, Alina
The training phase of machine learning models is a delicate step, especially in cybersecurity contexts. Recent research has surfaced a series of insidious training-time attacks that inject backdoors in models designed for security classification task
Externí odkaz:
http://arxiv.org/abs/2407.08159
Autor:
Ganta, Sathya, Bera, Kallol, Rauf, Shahid, Kaganovich, Igor, Khrabrov, Alexander, Powis, Andrew T, Sydorenko, Dmytro, Xu, Liang
The effect of a uniform magnetic field on particle transport in low-pressure radio frequency (RF) capacitively coupled plasma (CCP) has been studied using a particle-in-cell (PIC) model. Three distinct regimes of plasma behavior can be identified as
Externí odkaz:
http://arxiv.org/abs/2406.14974
Gravitational waves (GWs) have revealed surprising properties of binary black hole (BBH) populations, but there is still mystery surrounding how these compact objects evolve. We apply Bayesian inference and an efficient method to calculate the BBH me
Externí odkaz:
http://arxiv.org/abs/2406.11885
Deep clustering (DC), a fusion of deep representation learning and clustering, has recently demonstrated positive results in data science, particularly text processing and computer vision. However, joint optimization of feature learning and data dist
Externí odkaz:
http://arxiv.org/abs/2405.17723
Autor:
Rauf, Aiman, Islam, SK Firoz
Volkov-Pankratov states are the non-topological massive bound states which generally arise across the smooth interface between two adjacent regions of a two-band semimetal, over which a gap parameter changes sign smoothly. In this work, we show that
Externí odkaz:
http://arxiv.org/abs/2405.11924
We explore the change in the sign of the Hubble parameter in the early universe and its stability in higher-order torsion gravity. Our study explores the various scenarios involving the sub-relativistic universe, radiation universe, ultra-relativisti
Externí odkaz:
http://arxiv.org/abs/2403.15867