Zobrazeno 1 - 10
of 22 779
pro vyhledávání: '"A. Ramezani"'
CubeSats offer a cost-effective platform for various space missions, but their limited fuel capacity and susceptibility to environmental disturbances pose significant challenges for precise orbital maneuvering. This paper presents a novel control str
Externí odkaz:
http://arxiv.org/abs/2410.10240
Users increasing activity across various social networks made it the most widely used platform for exchanging and propagating information among individuals. To spread information within a network, a user initially shared information on a social netwo
Externí odkaz:
http://arxiv.org/abs/2410.01320
Autor:
de Lima, Lucas Carvalho, Griffiths, Ethan, Haghighat, Maryam, Denman, Simon, Fookes, Clinton, Borges, Paulo, Brünig, Michael, Ramezani, Milad
This paper presents a novel approach for robust global localisation and 6DoF pose estimation of ground robots in forest environments by leveraging cross-view factor graph optimisation and deep-learned re-localisation. The proposed method addresses th
Externí odkaz:
http://arxiv.org/abs/2409.16680
The use of a reconfigurable intelligent surface (RIS) for aiding user-specific transmission has been widely explored. However, little attention has been devoted to utilizing RIS for assisting cell-specific transmission, where the RIS needs to reflect
Externí odkaz:
http://arxiv.org/abs/2410.07134
In this paper, we consider a single-anchor localization system assisted by a reconfigurable intelligent surface (RIS), where the objective is to localize multiple user equipments (UEs) placed in the radiative near-field region of the RIS by estimatin
Externí odkaz:
http://arxiv.org/abs/2409.14152
Accurate lung nodule detection for computed tomography (CT) scan imagery is challenging in real-world settings due to the sparse occurrence of nodules and similarity to other anatomical structures. In a typical positive case, nodules may appear in as
Externí odkaz:
http://arxiv.org/abs/2409.05200
This study investigates how BERT processes and represents Argument Structure Constructions (ASCs), extending previous LSTM analyses. Using a dataset of 2000 sentences across four ASC types (transitive, ditransitive, caused-motion, resultative), we an
Externí odkaz:
http://arxiv.org/abs/2408.04270
Understanding how language and linguistic constructions are processed in the brain is a fundamental question in cognitive computational neuroscience. In this study, we explore the representation and processing of Argument Structure Constructions (ASC
Externí odkaz:
http://arxiv.org/abs/2408.03062
Autor:
Ramezani, H., Nozari, K.
In this paper we investigate the statistical mechanics within the Linear-Quadratic GUP (LQGUP, i.e, GUP with linear and quadratic terms in momentum) models in the semiclassical regime. Then, some thermodynamic properties of a system of 3-dimensional
Externí odkaz:
http://arxiv.org/abs/2407.20497
Autor:
Björnson, Emil, Kara, Ferdi, Kolomvakis, Nikolaos, Kosasih, Alva, Ramezani, Parisa, Salman, Murat Babek
The initial 6G networks will likely operate in the upper mid-band (7-24 GHz), which has decent propagation conditions but underwhelming new spectrum availability. In this paper, we explore whether we can anyway reach the ambitious 6G performance goal
Externí odkaz:
http://arxiv.org/abs/2407.05630