Zobrazeno 1 - 10
of 55 384
pro vyhledávání: '"MEHDI Amir '
The increasing integration of the Internet of Medical Things (IoMT) into healthcare systems has significantly enhanced patient care but has also introduced critical cybersecurity challenges. This paper presents a novel approach based on Convolutional
Externí odkaz:
http://arxiv.org/abs/2410.23306
Practical Challenges for Reliable RIS Deployment in Heterogeneous Multi-Operator Multi-Band Networks
Autor:
Monemi, Mehdi, Rasti, Mehdi, de Sena, Arthur S., Fallah, Mohammad Amir, Latva-Aho, Matti, Di Renzo, Marco
Reconfigurable intelligent surfaces (RISs) have been introduced as arrays of nearly passive elements with software-tunable electromagnetic properties to dynamically manipulate the reflection/transmission of radio signals. Research works in this area
Externí odkaz:
http://arxiv.org/abs/2408.15867
Autor:
Rahmani, Amir Masoud, Haider, Amir, Adeli, Mohammad, Mzoughi, Olfa, Gemeay, Entesar, Mohammadi, Mokhtar, Alinejad-Rokny, Hamid, Khoshvaght, Parisa, Hosseinzadeh, Mehdi
This paper explores the efficacy of Mel Frequency Cepstral Coefficients (MFCCs) in detecting abnormal heart sounds using two classification strategies: a single classifier and an ensemble classifier approach. Heart sounds were first pre-processed to
Externí odkaz:
http://arxiv.org/abs/2406.00702
Safe Reinforcement Learning (Safe RL) is one of the prevalently studied subcategories of trial-and-error-based methods with the intention to be deployed on real-world systems. In safe RL, the goal is to maximize reward performance while minimizing co
Externí odkaz:
http://arxiv.org/abs/2408.07962
Autor:
Rahmani, Amir Masoud, Khoshvaght, Parisa, Alinejad-Rokny, Hamid, Sadeghi, Samira, Asghari, Parvaneh, Arabi, Zohre, Hosseinzadeh, Mehdi
Acute lymphoblastic leukemia (ALL) severity is determined by the presence and ratios of blast cells (abnormal white blood cells) in both bone marrow and peripheral blood. Manual diagnosis of this disease is a tedious and time-consuming operation, mak
Externí odkaz:
http://arxiv.org/abs/2406.18568
3D spot beamfocusing (SBF), in contrast to conventional angular-domain beamforming, concentrates radiating power within very small volume in both radial and angular domains in the near-field zone. Recently the implementation of channel-state-informat
Externí odkaz:
http://arxiv.org/abs/2405.19347
Autor:
Ye, Mai, Lacmann, Tom, Frachet, Mehdi, Vinograd, Igor, Garbarino, Gaston, Maraytta, Nour, Merz, Michael, Heid, Rolf, Haghighirad, Amir-Abbas, Tacon, Matthieu Le
Strain tuning is a powerful experimental method in probing correlated electron systems. Here we study the strain response of the lattice dynamics and electronic structure in semiconductor Ta$_2$NiS$_5$ by polarization-resolved Raman spectroscopy. We
Externí odkaz:
http://arxiv.org/abs/2405.01455
Autor:
Jayaweera, Nalin, Bonfante, Andrea, Schamberger, Mark, Tehrani, Amir Mehdi Ahmadian, Sanguanpuak, Tachporn, Tilak, Preetish, Jayasinghe, Keeth, Vook, Frederick W., Rajatheva, Nandana
The legacy beam management (BM) procedure in 5G introduces higher measurement and reporting overheads for larger beam codebooks resulting in higher power consumption of user equipment (UEs). Hence, the 3rd generation partnership project (3GPP) studie
Externí odkaz:
http://arxiv.org/abs/2404.15326
Spot beamfocusing (SBF) is the process of focusing the signal power in a small spot-like region in the 3D space, which can be either hard-tuned (HT) using traditional tools like lenses and mirrors or electronically reconfigured (ER) using modern larg
Externí odkaz:
http://arxiv.org/abs/2401.08651
Static call graph (CG) construction often over-approximates call relations, leading to sound, but imprecise results. Recent research has explored machine learning (ML)-based CG pruning as a means to enhance precision by eliminating false edges. Howev
Externí odkaz:
http://arxiv.org/abs/2402.07294