Zobrazeno 1 - 10
of 93 674
pro vyhledávání: '"Rahim, A. A."'
Autor:
Ali, Asad, Elghaayda, Samira, Al-Kuwari, Saif, Hussain, M. I., Rahim, M. T., Kuniyil, H., Seida, C., Allati, A. El, Mansour, M., Haddadi, Saeed
We investigate the performance of a novel model based on a one-dimensional (1D) spin-$1/2$ Heisenberg $XY-\Gamma(\gamma)$ quantum chain, also known as 1D Kitaev chain, as a working medium for a quantum battery (QB) in both closed and open system scen
Externí odkaz:
http://arxiv.org/abs/2411.14074
Autor:
Mehereen, Taskin, Chanda, Shorup, Nitu, Afrina Ayrin, Jami, Jubaer Tanjil, Rahim, Rafia Rizwana, Rahman, Md Ashiqur
Although real surfaces exhibit intricate topologies at the nanoscale, rough surface consideration is often overlooked in nanoscale heat transfer studies. Superimposed sinusoidal functions effectively model the complexity of these surfaces. This study
Externí odkaz:
http://arxiv.org/abs/2411.10820
The design of efficient sparse codebooks in sparse code multiple access (SCMA) system have attracted tremendous research attention in the past few years. This paper proposes a novel nonlinear SCMA (NL-SCMA) that can subsume the conventional SCMA syst
Externí odkaz:
http://arxiv.org/abs/2411.08493
Generative foundation models can revolutionize the design of semantic communication (SemCom) systems allowing high fidelity exchange of semantic information at ultra low rates. In this work, a generative SemCom framework with pretrained foundation mo
Externí odkaz:
http://arxiv.org/abs/2411.04575
Quantum optimal control (QOC) schemes can be employed to enhance the sensitivity of quantum metrology (QM) protocols undergoing Markovian noise, which can limit their precision to a standard quantum limit (SQL)-like scaling. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2411.04022
Autor:
Miah, Abu Saleh Musa, Tusher, Md Mahbubur Rahman, Hossain, Md. Moazzem, Hossain, Md Mamun, Rahim, Md Abdur, Hamid, Md Ekramul, Islam, Md. Saiful, Shin, Jungpil
In recent years, advanced artificial intelligence technologies, such as ChatGPT, have significantly impacted various fields, including education and research. Developed by OpenAI, ChatGPT is a powerful language model that presents numerous opportunit
Externí odkaz:
http://arxiv.org/abs/2411.02816
Generative diffusion models (GDMs) have recently shown great success in synthesizing multimedia signals with high perceptual quality enabling highly efficient semantic communications in future wireless networks. In this paper, we develop an intent-aw
Externí odkaz:
http://arxiv.org/abs/2411.02334
Autor:
Ahmed, Mustofa, Muntakim, Abdul, Tabassum, Nawrin, Rahim, Mohammad Asifur, Shah, Faisal Muhammad
Depression detection using deep learning models has been widely explored in previous studies, especially due to the large amounts of data available from social media posts. These posts provide valuable information about individuals' mental health con
Externí odkaz:
http://arxiv.org/abs/2410.13709
This paper presents GBSense, an innovative compressed spectrum sensing system designed for GHz-bandwidth signals in dynamic spectrum access (DSA) applications. GBSense introduces an efficient approach to periodic nonuniform sampling, capturing wideba
Externí odkaz:
http://arxiv.org/abs/2410.11495
We study the evolution of a newly formed magnetized neutron-star (NS) as a power source of gamma-ray bursts (GRBs) in the light of both gravitational wave (GW) and electromagnetic (EM) radiations. The compressible and incompressible fluids are employ
Externí odkaz:
http://arxiv.org/abs/2410.07883