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Publikováno v:
IEEE Access, Vol 9, Pp 49387-49397 (2021)
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Ieee Access
Media coverage plays an important role in prevention and control the spread of COVID-19 during the pandemic. In this paper, an SIHRS model of COVID-19 pandemic with impulse and time delay under media coverage is established. The positive and negative
Publikováno v:
IEEE Access, Vol 9, Pp 49857-49867 (2021)
Hamiltonian Monte Carlo is a Markov Chain Monte Carlo method that has been widely applied to numerous posterior inference problems within the machine learning literature. Markov Chain Monte Carlo estimators have higher variance than classical Monte C
Publikováno v:
IEEE Access, Vol 9, Pp 65482-65489 (2021)
A set of positive integers A is called a $g$ -Golomb ruler if the difference between two distinct elements of A is repeated up to $g$ times. This definition is a generalization of the Golomb ruler $(g = 1)$ . In this paper, we obtain new construction
Publikováno v:
IEEE Access, Vol 9, Pp 22328-22338 (2021)
In this paper, we first focus on the topic of calculation of cross gramians for linear square systems, which are constructed approximately from the Laguerre series expansion coefficient vectors that are obtained by solving a recurrence formula instea
Publikováno v:
IEEE Access, Vol 9, Pp 71277-71283 (2021)
The fundamentals of neutrosophic statistics provide a new basis for working with indeterminate data problems. In this study, the notion of the neutrosophic Rayleigh distribution $\left ({{RD}_{N} }\right)$ has been introduced. The neutrosphic extensi
Publikováno v:
IEEE Access, Vol 9, Pp 7775-7788 (2021)
Tensor regression is an important and useful tool for analyzing multidimensional array data. To deal with high dimensionality, CANDECOMP/PARAFAC (CP) low-rank constraints are often imposed on the coefficient tensor parameter in the (penalized) loss f
Publikováno v:
IEEE Access, Vol 9, Pp 68176-68184 (2021)
This paper is concerned with the stochastic stabilization problem for nonlinear systems by $G$ -Brownian motion with feedback control based on discrete-time state observations with a time delay. By constructing an auxiliary system, which is a continu
Publikováno v:
IEEE Access, Vol 9, Pp 5150-5165 (2021)
There are a few dependent multivariate relationships among high dimensional data sets. Then how to identify these dependent variables from high dimensional data sets is an important issue for data analysis. Now, the most frequently used method is the
Publikováno v:
IEEE Access, Vol 9, Pp 43301-43315 (2021)
Variational models with second order regularizers can efficiently overcome the problems of staircasing effects caused by first order models. However, different types of second order regularizers may lead to different properties of feature preserving
Publikováno v:
IEEE Access, Vol 8, Pp 76043-76055 (2020)
Discriminative subspace clustering (DSC) combines Linear Discriminant Analysis (LDA) with clustering algorithm, such as K-means (KM), to form a single framework to perform dimension reduction and clustering simultaneously. It has been verified to be