Zobrazeno 1 - 10
of 18 199
pro vyhledávání: '"A. Elahi"'
Autor:
R. Omranipour, F. Shahi, M. Mirzania, S. Alipour, K. Mousavi, A. Elahi, B. Eslami, M. Moghimi, N. Nazarian
Publikováno v:
Breast, Vol 68, Iss , Pp S101- (2023)
Externí odkaz:
https://doaj.org/article/05eaadbbf99848748cf9ab9ace732bb1
Considering radio-interferometric observations, we present a fast and efficient estimator to compute the binned angular bispectrum (ABS) from gridded visibility data. The estimator makes use of Fast Fourier Transform (FFT) techniques to compute the b
Externí odkaz:
http://arxiv.org/abs/2412.02246
As mobile systems become more advanced, the security of System-on-Chips (SoCs) is increasingly threatened by thermal attacks. This research introduces a new attack method called the Multi-stage Adaptive Thermal Trojan for Efficiency and Resilience De
Externí odkaz:
http://arxiv.org/abs/2412.00226
We present a minimal composite dark matter model, based on a $SU(N_d)$ dark sector with $n_f$ dark quarks and a heavy t-channel mediator. For $n_f\geq 4$, the dark flavor symmetry guarantees the stability of a subset of the dark pions, which serve as
Externí odkaz:
http://arxiv.org/abs/2411.15073
Causal knowledge about the relationships among decision variables and a reward variable in a bandit setting can accelerate the learning of an optimal decision. Current works often assume the causal graph is known, which may not always be available a
Externí odkaz:
http://arxiv.org/abs/2411.04054
In this paper, we examine the impact of lexicalization on Question Answering over Linked Data (QALD). It is well known that one of the key challenges in interpreting natural language questions with respect to SPARQL lies in bridging the lexical gap,
Externí odkaz:
http://arxiv.org/abs/2411.03906
Autor:
Elahi, Shafaq Gulzar, Schut, Martine, Dana, Andrew, Grinin, Alexey, Bose, Sougato, Mazumdar, Anupam, Geraci, Andrew
The Quantum Gravity Mediated Entanglement (QGEM) protocol offers a novel method to probe the quantumness of gravitational interactions at non-relativistic scales. This protocol leverages the Stern-Gerlach effect to create $\mathcal{O}(\sim \mu m)$ sp
Externí odkaz:
http://arxiv.org/abs/2411.02325
Autor:
Elahi, Ali, Taghvaei, Fatemeh
Predicting financial markets and stock price movements requires analyzing a company's performance, historic price movements, industry-specific events alongside the influence of human factors such as social media and press coverage. We assume that fin
Externí odkaz:
http://arxiv.org/abs/2411.01368
Autor:
Elahi, Ali, Zirak, Armin
Recommender systems are widely used AI applications designed to help users efficiently discover relevant items. The effectiveness of such systems is tied to the satisfaction of both users and providers. However, user satisfaction is complex and canno
Externí odkaz:
http://arxiv.org/abs/2411.01354
Fine-grained power estimation in multicore Systems on Chips (SoCs) is crucial for efficient thermal management. BPI (Blind Power Identification) is a recent approach that determines the power consumption of different cores and the thermal model of th
Externí odkaz:
http://arxiv.org/abs/2410.21261