Zobrazeno 1 - 10
of 5 326
pro vyhledávání: '"Saadati A"'
Autor:
Saadati, Sahabeh, Manthouri, Mohammad
Accurate prediction of price behavior in the foreign exchange market is crucial. This paper proposes a novel approach that leverages technical indicators and deep neural networks. The proposed architecture consists of a Long Short-Term Memory (LSTM)
Externí odkaz:
http://arxiv.org/abs/2411.19763
Autor:
Saadati, Yasaman, Amini, M. Hadi
Federated Learning (FL) is a decentralized learning approach that protects sensitive information by utilizing local model parameters rather than sharing clients' raw datasets. While this privacy-preserving method is widely employed across various app
Externí odkaz:
http://arxiv.org/abs/2411.12244
Publikováno v:
Phys. Rev. D 110, 125012 (2024)
We investigate the curved-spacetime dynamics of charged spin-$\frac{1}{2}$ particles minimally coupled to the electromagnetic field and propagating in superposed states of different masses. For that purpose, we make use of a Wentzel-Kramers-Brillouin
Externí odkaz:
http://arxiv.org/abs/2410.01787
Autor:
Tali, Ronak, Rabeh, Ali, Yang, Cheng-Hau, Shadkhah, Mehdi, Karki, Samundra, Upadhyaya, Abhisek, Dhakshinamoorthy, Suriya, Saadati, Marjan, Sarkar, Soumik, Krishnamurthy, Adarsh, Hegde, Chinmay, Balu, Aditya, Ganapathysubramanian, Baskar
Simulating fluid flow around arbitrary shapes is key to solving various engineering problems. However, simulating flow physics across complex geometries remains numerically challenging and computationally resource-intensive, particularly when using c
Externí odkaz:
http://arxiv.org/abs/2409.18032
Autor:
Saadati, Sina, Razzazi, Mohammadreza
Motion disorders pose a significant global health concern and are often managed with pharmacological treatments that may lead to undesirable long-term effects. Current therapeutic strategies lack differentiation between healthy and unhealthy muscles
Externí odkaz:
http://arxiv.org/abs/2409.14561
The ultralocal limit along timelike geodesics, in which any geometry reduces to Bianchi I, does not extend to non-geodesic timelike observers. Exceptions are discussed, including particles with variable mass, test particles in Einstein frame scalar-t
Externí odkaz:
http://arxiv.org/abs/2408.00871
Publikováno v:
Phys. Rev. D 110, 065005 (2024)
We investigate the dynamics of spin-$\tfrac{1}{2}$ particles that are freely propagating in superposed states in curved spacetime. We first make use of a Wentzel-Kramers-Brillouin approximation of the Dirac equation in curved spacetime to extract the
Externí odkaz:
http://arxiv.org/abs/2407.07139
Autor:
Busaranuvong, Palawat, Agu, Emmanuel, Kumar, Deepak, Gautam, Shefalika, Fard, Reza Saadati, Tulu, Bengisu, Strong, Diane
To detect infected wounds in Diabetic Foot Ulcers (DFUs) from photographs, preventing severe complications and amputations. Methods: This paper proposes the Guided Conditional Diffusion Classifier (ConDiff), a novel deep-learning infection detection
Externí odkaz:
http://arxiv.org/abs/2405.00858
Autor:
Saadati, Nastaran, Pham, Minh, Saleem, Nasla, Waite, Joshua R., Balu, Aditya, Jiang, Zhanhong, Hegde, Chinmay, Sarkar, Soumik
Recent advances in decentralized deep learning algorithms have demonstrated cutting-edge performance on various tasks with large pre-trained models. However, a pivotal prerequisite for achieving this level of competitiveness is the significant commun
Externí odkaz:
http://arxiv.org/abs/2404.08079
The quantum Hall effect under the influence of gravity and inertia is studied in a unified way. We make use of an algebraic approach, as opposed to an analytic approach. We examine how both the integer and the fractional quantum Hall effects behave u
Externí odkaz:
http://arxiv.org/abs/2403.07069