forecasting model with Long Range Dependent (LRD) characteristics. The LRD forecasting model considers

. The method is based on clinical application of 3D modeling of results obtained by ultrasound investigations

). In this paper, an iterative model of the generalized Cauchy (GC) process with LRD characteristics is proposed

-level malicious behavior analysis model is established based on non-negative matrix factorization-Gaussian mixture

algorithm, for example, a neural network model in decision-making system to avoid possible mistakes in a

In this paper, an adaptive remaining useful life prediction model is proposed for electric vehicle

hybrid predictive model, combining statistical properties and historical data training. In order

to address the “missing heritability” problem. We designed regression models, which included PGS using 27

the characteristics of large-scale parallel processing and self-learning, a deep belief network (DBN) simulation model

. The model of polymer-stabilized ferroelectric liquid crystal cell with a quasi-bookshelf layer structure