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pro vyhledávání: '"Rao A."'
Autor:
Alterno, Letizia
Raja Rao, along with RK Narayan and Mulk Raj Anand, defined Indian writing in English in the early twentieth century. His works exhibit a deep engagement with psychology, mysticism, spiritualism and philosophy. His narratives become cultural as well
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection
Autor:
PN, Aravinda Reddy, Ramachandra, Raghavendra, Rao, Krothapalli Sreenivasa, Rathod, Pabitra Mitra Vinod
Deepfakes pose a critical threat to biometric authentication systems by generating highly realistic synthetic media. Existing multimodal deepfake detectors often struggle to adapt to diverse data and rely on simple fusion methods. To address these ch
Externí odkaz:
http://arxiv.org/abs/2410.06543
A Cram\'er-Rao bound (CRB) optimization framework for near-field sensing (NISE) with continuous-aperture arrays (CAPAs) is proposed. In contrast to conventional spatially discrete arrays (SPDAs), CAPAs emit electromagnetic (EM) probing signals throug
Externí odkaz:
http://arxiv.org/abs/2412.15007
Quantitative acoustic microscopy (QAM) is a cutting-edge imaging modality that leverages very high-frequency ultrasound to characterize the acoustic and mechanical properties of biological tissues at microscopic resolutions. Radio-frequency echo sign
Externí odkaz:
http://arxiv.org/abs/2412.07497
This paper investigates an integrated sensing and communication (ISAC) system where the sensing target is a three-dimensional (3D) extended target, for which multiple scatterers from the target surface can be resolved. We first introduce a second-ord
Externí odkaz:
http://arxiv.org/abs/2412.06353
In quantum multi-parameter estimation, the uncertainty in estimating unknown parameters is lower-bounded by Cram\'{e}r-Rao bound (CRB), defined as an inverse of the Fisher information matrix (FIM) associated with the multiple parameters. However, in
Externí odkaz:
http://arxiv.org/abs/2412.01117
Autor:
Souza, Leonardo A. M.
Publikováno v:
JMFis 7-2, 33 (2024)
This paper explores as didactically as possible the fundamental principles of both classical and quantum metrology, focusing on the Cram\'er-Rao Bound and how it defines the maximum precision in parameter estimation, taking into account noise and the
Externí odkaz:
http://arxiv.org/abs/2411.17797
Autor:
Kitagawa, Genshiro
This paper explores a Bayesian self-organization method for state-space models, enabling simultaneous state and parameter estimation without repeated likelihood calculations. While efficient for low-dimensional models, high-dimensional cases like sea
Externí odkaz:
http://arxiv.org/abs/2411.16056
The estimation of multiple parameters is a ubiquitous requirement in many quantum metrology applications. However, achieving the ultimate precision limit, i.e. the quantum Cram\'er-Rao bound, becomes challenging in these scenarios compared to single
Externí odkaz:
http://arxiv.org/abs/2411.14929
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