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pro vyhledávání: '"Malik, A."'
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Building on the global branding literature, brand relationship theory and social identity theory, this study investigates the relationship between perceived brand globalness (PBG) and user engagement (active/passive) on global social network
Building on the global branding literature, brand relationship theory and social identity theory, this study investigates the relationship between perceived brand globalness (PBG) and user engagement (active/passive) on global social network
Externí odkaz:
http://hdl.handle.net/10454/18993
Autor:
Stollenwerk, Tobias, Huckfeldt, Pia Carlotta, Ulumuddin, Nisa Zakia Zahra, Schneider, Malik, Xie, Zhuocheng, Korte-Kerzel, Sandra
Intermetallics, which encompass a wide range of compounds, often exhibit similar or closely related crystal structures, resulting in various intermetallic systems with structurally derivative phases. This study examines the hypothesis that deformatio
Externí odkaz:
http://arxiv.org/abs/2409.18687
Crack detection, particularly from pavement images, presents a formidable challenge in the domain of computer vision due to several inherent complexities such as intensity inhomogeneity, intricate topologies, low contrast, and noisy backgrounds. Auto
Externí odkaz:
http://arxiv.org/abs/2409.18099
Autor:
Verdera, Jordina Aviles, Silva, Sara Neves, Tomi-Tricot, Raphael, Hall, Megan, Story, Lisa, Malik, Shaihan J, Hajnal, Joseph V, Rutherford, Mary A, Hutter, Jana
Purpose: To provide real-time quantitative organ-specific information - specifically placental and brain T2* - to allow optimization of the MR examination to the individual patient. Methods: A FIRE-based real-time setup segmenting placenta and fetal
Externí odkaz:
http://arxiv.org/abs/2409.16878
In contemporary healthcare, to protect patient data, electronic health records have become invaluable repositories, creating vast opportunities to leverage deep learning techniques for predictive analysis. Retinal fundus images, cirrhosis stages, and
Externí odkaz:
http://arxiv.org/abs/2409.16721
Although various visual localization approaches exist, such as scene coordinate and pose regression, these methods often struggle with high memory consumption or extensive optimization requirements. To address these challenges, we utilize recent adva
Externí odkaz:
http://arxiv.org/abs/2409.16502
Autor:
Malik, Zachariah, Maulik, Romit
Ensemble Kalman Filtering (EnKF) is a popular technique for data assimilation, with far ranging applications. However, the vanilla EnKF framework is not well-defined when perturbations are nonlinear. We study two non-linear extensions of the vanilla
Externí odkaz:
http://arxiv.org/abs/2409.14300
Autor:
Zhang, Dingqi, Loquercio, Antonio, Tang, Jerry, Wang, Ting-Hao, Malik, Jitendra, Mueller, Mark W.
This paper introduces a learning-based low-level controller for quadcopters, which adaptively controls quadcopters with significant variations in mass, size, and actuator capabilities. Our approach leverages a combination of imitation learning and re
Externí odkaz:
http://arxiv.org/abs/2409.12949
Foundation models, while highly effective, are often resource-intensive, requiring substantial inference time and memory. This paper addresses the challenge of making these models more accessible with limited computational resources by exploring dime
Externí odkaz:
http://arxiv.org/abs/2409.12264
Autor:
Malik, Zainab
Publikováno v:
Int. J. Theor. Phys. 63, 128 (2024)
We have derived precise analytic expressions for the quasinormal modes of test scalar, and Dirac fields in the background of the dilaton black hole. To achieve this, we employ the higher-order WKB expansion in terms of $1/\ell$. A comparison between
Externí odkaz:
http://arxiv.org/abs/2409.09872