Zobrazeno 1 - 10
of 48 080
pro vyhledávání: '"Waqas, A."'
Publikováno v:
Europhysics Letters, 141(6), 64002 (2023)
This work focuses on the study of identified hadrons and strange hadrons, recorded by CMS, and light nuclei and their anti-nuclei, recorded by ALICE, at 0.9 TeV, 2.76 TeV, 7 TeV and 13 TeV centre of mass energies in pp collision at mid rapidities. Th
Externí odkaz:
http://arxiv.org/abs/2411.08669
Publikováno v:
Physica Scripta, 98(11), 115306 (2023)
This article focuses on the study of strange hadrons at 0.2 TeV centre of mass energy, recorded by STAR at RHIC, and at 0.9 TeV, 5.02 TeV and 7 TeV, recorded by CMS at LHC, in pp collision in the rapidity range from 0 to 2. The transverse momentum di
Externí odkaz:
http://arxiv.org/abs/2411.08655
This paper introduces a real-time Vehicle Collision Avoidance System (V-CAS) designed to enhance vehicle safety through adaptive braking based on environmental perception. V-CAS leverages the advanced vision-based transformer model RT-DETR, DeepSORT
Externí odkaz:
http://arxiv.org/abs/2411.01963
We investigate the possibility that primordial black holes (PBHs) can be formed from large curvature perturbations generated during the waterfall phase transition in a hybrid inflation model driven by an axion-like particle (ALP) $\phi$. The model pr
Externí odkaz:
http://arxiv.org/abs/2411.00764
Computer vision researchers have extensively worked on fundamental infrared visual recognition for the past few decades. Among various approaches, deep learning has emerged as the most promising candidate. However, Infrared Small Object Segmentation
Externí odkaz:
http://arxiv.org/abs/2410.22881
This paper presents a comprehensive analysis of the double-differential $p_T$ distributions of charged particles in twelve distinct pseudorapidity regions of equal width in $pp$ collisions at center-of-mass energies of 0.9, 2.36, and 7 TeV. Utilizing
Externí odkaz:
http://arxiv.org/abs/2410.09110
Autor:
Koutsoubis, Nikolas, Waqas, Asim, Yilmaz, Yasin, Ramachandran, Ravi P., Schabath, Matthew, Rasool, Ghulam
Artificial Intelligence (AI) has demonstrated significant potential in automating various medical imaging tasks, which could soon become routine in clinical practice for disease diagnosis, prognosis, treatment planning, and post-treatment surveillanc
Externí odkaz:
http://arxiv.org/abs/2409.16340
Terahertz (THz) communications will be pivotal in sixth-generation (6G) wireless networks, offering significantly wider bandwidths and higher data rates. However, the unique propagation characteristics of the THz frequency band, such as high path los
Externí odkaz:
http://arxiv.org/abs/2409.09713
Autor:
Khalid, Waqas, Boulogeorgos, A. -A. A., Van Chien, Trinh, Lee, Junse, Lee, Howon, Yu, Heejung
Wireless-powered communications (WPCs) are increasingly crucial for extending the lifespan of low-power Internet of Things (IoT) devices. Furthermore, reconfigurable intelligent surfaces (RISs) can create favorable electromagnetic environments by pro
Externí odkaz:
http://arxiv.org/abs/2409.09719
Autor:
Rovirola, Marc, Khaliq, M. Waqas, Casals, Blai, Begué, Adrian, Biskup, Neven, Coton, Noelia, Hernàndez, Joan Manel, Niño, Miguel Angel, Foerster, Michael, Hernández-Mínguez, Alberto, Ranchal, Rocío, Costache, Marius V., García-Santiago, Antoni, Macià, Ferran
The interaction between surface acoustic waves and magnetization offers an efficient route for electrically controlling magnetic states. Here, we demonstrate the excitation of magnetoacoustic waves in galfenol, a highly magnetostrictive alloy made of
Externí odkaz:
http://arxiv.org/abs/2409.04370