Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Xingquan LI"'
Publikováno v:
IEEE Access, Vol 12, Pp 136599-136612 (2024)
In the field of autonomous driving, monocular 3D object detection is focused on the task of representing 3D scenes using a single camera image and conducting 3D object detection. While Bird’s-Eye View (BEV) method effectively decreases the computat
Externí odkaz:
https://doaj.org/article/e53f648a4f1941b3a19b68dede28ffaf
Autor:
Yong Wang, Luyao Feng, Hongwei Huang, Zhifeng Zeng, Yuhan Liu, Xiaotong Liu, Xingquan Li, Kaiming Yang, Zhijian Zheng, Biaogang Xu, Wenlong He, Shaobin Zhan, Wenli Wang
Publikováno v:
Crystals, Vol 14, Iss 6, p 518 (2024)
A novel, highly efficient terahertz fully polarized transmission line is designed by two-dimensional tellurium photonic crystals consisting of square lattice rod arrays with a complete photonic bandgap. The TE and TM photonic bandgaps of the telluriu
Externí odkaz:
https://doaj.org/article/2cbc7c4357a649699e1081a7786730f3
Publikováno v:
Results in Physics, Vol 51, Iss , Pp 106685- (2023)
In order to implement a comprehensive wiring control system for intelligent buildings, the author proposes a method based on physical isolation under big data technology. Taking the path planning of the comprehensive wiring system as the research obj
Externí odkaz:
https://doaj.org/article/e73a59233e534eacb01c405018d9c7f5
Publikováno v:
IEEE Access, Vol 10, Pp 39069-39079 (2022)
The goal of scene graph generation (SGG) is to classify objects and their pair-wise relationships in a visual scene. Object occlusion is a critical challenge when generating scene graphs in complex scenes. However, this issue has rarely been explored
Externí odkaz:
https://doaj.org/article/efe56aa92cd44293b44439d8693bb105
Publikováno v:
IEEE Access, Vol 8, Pp 31245-31253 (2020)
In recent years, a lot of power allocation algorithms have been proposed to maximize spectral efficiency (SE) and energy efficiency (EE) for the distributed antenna systems (DAS). However, the traditional iterative power allocation algorithms are dif
Externí odkaz:
https://doaj.org/article/d2484a55274b46279e21ec385543bc33
Publikováno v:
IEEE Access, Vol 8, Pp 192867-192879 (2020)
To fully utilize the dynamic reconfigurability of digital microfluidic biochips, most of electrodes would be shared by different droplets. Thus, contaminations caused by liquid residues among droplets are inevitable which lead to lethal errors in bio
Externí odkaz:
https://doaj.org/article/daa5bf9017934e208a7989d930e842a2
Publikováno v:
IEEE Access, Vol 7, Pp 20577-20584 (2019)
In this paper, we investigate the great potential of the combination of machine learning technology and wireless communications. Currently, many researchers have proposed various optimization algorithms on resource allocation for distributed antenna
Externí odkaz:
https://doaj.org/article/d2175c587a4c4b3cbb3981ed102fd11f
Publikováno v:
IEEE Access, Vol 7, Pp 59575-59584 (2019)
In this paper, we consider the combination of machine learning (ML) and wireless communication. We design a machine learning generated clusters model in a distributed antenna system (DAS), which is constructed by two different ML clustering algorithm
Externí odkaz:
https://doaj.org/article/f868b5e3bad34f1d9a8b34e0abc7e794
Publikováno v:
IEEE Access, Vol 6, Pp 49886-49895 (2018)
In this paper, we first introduce the bidirectional distributed antenna systems (DAS) and exploit the choosing algorithm to take user-centric virtual cells into this system. Then, we discuss different power allocation optimization problems with inter
Externí odkaz:
https://doaj.org/article/af47f45064ef47bbb01607c3f00a4dba
Publikováno v:
Thermal Science. 2024, Vol. 28 Issue 2B, p1379-1388. 10p.