Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Zhiyang Li"'
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks With NOMA
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking. 7:427-440
Reconfigurable intelligent surface (RIS) has emerged as a promising technology for achieving high spectrum and energy efficiency in future wireless communication networks. In this paper, we investigate an RIS-aided single-cell multi-user mobile edge
Autor:
Zhiyang Li
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-10
Volatility is an inherent attribute of the financial market, which is usually expressed as the degree of volatility of financial asset prices. The volatility of the financial market means that there is uncertainty or risk in the market. This paper ma
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 34, Pp 630-646 (2020)
Machine Learning and Knowledge Extraction
Volume 2
Issue 4
Pages 34-646
Machine Learning and Knowledge Extraction
Volume 2
Issue 4
Pages 34-646
Feature analysis is a fundamental research area in computer graphics
meanwhile, meaningful and part-aware feature bases are always demanding. This paper proposes a framework for conducting feature analysis on a three-dimensional (3D) model by in
meanwhile, meaningful and part-aware feature bases are always demanding. This paper proposes a framework for conducting feature analysis on a three-dimensional (3D) model by in
Autor:
Mu Lv, Zhu Chen, Han Shen, Bin Liu, Song Li, Wang Wei, Zhiyang Li, Lian Jin, Nongyue He, Xiaohan Dong, Mubashir Hussain
Publikováno v:
Journal of Nanoscience and Nanotechnology. 20:4047-4056
The rapid detection and classification of bacterial pathogens have great medical utility, and widespread applications in clinical labs, intensive care units, and infectious disease departments. The Rapid Bacterial Identification System (RBIS) is base
Publikováno v:
IEEE Access, Vol 8, Pp 172412-172427 (2020)
Distinguishing among different kinds of features as well as noises on 3D mesh models is crucial for feature-preserving mesh denoising. This paper proposes to address this issue via in-depth analysis of the intermediate products of the denoising proce
Publikováno v:
Expert Systems. 38
Publikováno v:
Electronics
Volume 8
Issue 6
Electronics, Vol 8, Iss 6, p 701 (2019)
Volume 8
Issue 6
Electronics, Vol 8, Iss 6, p 701 (2019)
This paper aims to utilize the deep learning architecture to break through the limitations of camera perspective, image background, uneven crowd density distribution and pedestrian occlusion to estimate crowd density accurately. In this paper, we pro
Publikováno v:
Pattern Recognition. 106:107409
Nowadays, prototype-based binary quantization (PBQ) is a promising solution for the approximate nearest neighbor search problem, which simultaneously preserves the affinity structures of prototypes in both Euclidean space as well as those of their co
Publikováno v:
Pattern Recognition. 105:107371
We present a novel 2D shape decomposition algorithm via a recursive partitioning process. Starting with the contour points of a shape, we repeatedly separate the points into two parts by spectral clustering, until the stopping condition is met. Motiv
Publikováno v:
International Journal of Database Theory and Application. 9:195-206