Zobrazeno 1 - 10
of 10 539
pro vyhledávání: '"A. Zakeri"'
This paper investigates the physical layer security of a Reconfigurable Intelligent Surface (RIS)-aided wireless network in the presence of full-duplex active eavesdropping. In this scenario, the RIS cooperates with the Base Station (BS) to transfer
Externí odkaz:
http://arxiv.org/abs/2411.17830
3D geometric shape completion hinges on representation learning and a deep understanding of geometric data. Without profound insights into the three-dimensional nature of the data, this task remains unattainable. Our work addresses this challenge of
Externí odkaz:
http://arxiv.org/abs/2411.05419
Publikováno v:
Maldonado-Garcia, C., Zakeri, A., Frangi, A.F., Ravikumar, N. (2025). Predictive Intelligence in Medicine. PRIME 2024. LNCS, vol 15155, Springer, Cham
Early identification of patients at risk of cardiovascular diseases (CVD) is crucial for effective preventive care, reducing healthcare burden, and improving patients' quality of life. This study demonstrates the potential of retinal optical coherenc
Externí odkaz:
http://arxiv.org/abs/2410.14423
Autor:
Zakeri, S. Peyman
In this work, we find a new signal of dark matter (DM) through an intensive gamma ray burst (GRB), called GRB 221009A. This indirect detection approach devotes to the decay of DM particles into high energy (HE) photons. In this context, a singlet sca
Externí odkaz:
http://arxiv.org/abs/2410.04742
Weconsider Markov decision processes arising from a Markov model of an underlying natural phenomenon. Such phenomena are usually periodic (e.g. annual) in time, and so the Markov processes modelling them must be time-inhomogeneous, with cyclostationa
Externí odkaz:
http://arxiv.org/abs/2409.10455
Rare processes in laboratory and within astrophysical environments can be highly sensitive probes of baryon-number violating interactions at the TeV scale. We demonstrate the power of neutron stars to constrain baryon number violation by considering
Externí odkaz:
http://arxiv.org/abs/2409.08178
Autor:
Zakeri, Abdollah, Fawakherji, Mulham, Kang, Jiming, Koirala, Bikram, Balan, Venkatesh, Zhu, Weihang, Benhaddou, Driss, Merchant, Fatima A.
Automating agricultural processes holds significant promise for enhancing efficiency and sustainability in various farming practices. This paper contributes to the automation of agricultural processes by providing a dedicated mushroom detection datas
Externí odkaz:
http://arxiv.org/abs/2407.11275
Lip-based biometric authentication (LBBA) has attracted many researchers during the last decade. The lip is specifically interesting for biometric researchers because it is a twin biometric with the potential to function both as a physiological and a
Externí odkaz:
http://arxiv.org/abs/2407.08717
We consider a status update system consisting of a finite-state Markov source, an energy-harvesting-enabled transmitter, and a sink. The forward and feedback channels between the transmitter and the sink are error-prone. We study the problem of minim
Externí odkaz:
http://arxiv.org/abs/2407.06749
Autor:
Wijesinghe, Isuru, Nix, Michael, Zakeri, Arezoo, Hokmabadi, Alireza, Al-Qaisieh, Bashar, Gooya, Ali, Taylor, Zeike A.
We propose Deep-Motion-Net: an end-to-end graph neural network (GNN) architecture that enables 3D (volumetric) organ shape reconstruction from a single in-treatment kV planar X-ray image acquired at any arbitrary projection angle. Estimating and comp
Externí odkaz:
http://arxiv.org/abs/2407.06692