Results 21 to 30 of about 45,001 (165)
Graph-based multivariate conditional autoregressive models
Statistical Theory and Related Fields, 2019 The conditional autoregressive model is a routinely used statistical model for areal data that arise from, for instances, epidemiological, socio-economic or ecological studies.
Ye Liang
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Современная наука и инновации, 2022 An approach to the development and study of a load balancing system for data centers (DC) taking into account the fractal properties of network traffic is proposed. The fractal properties of network traffic make it possible to predict, with a fairly high
G. I. Linets +3 more
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Information and Telecommunication Sciences, 2021 Background. Modern radar stations for various purposes operate in the conditions of interference created by the imprints of the radar signal from the background surface, from metrological formations (precipitation, clouds, etc.) and artificial radiation ...
Ігор Прокопенко +3 more
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Frontiers in Neural Circuits, 2012 Brain-state-dependent stimulation combines brain-computer interfaces (BCI) and cortical stimulation into one paradigm that allows the online decoding for example of movement intention from brain signals while simultaneously applying stimulation.
Armin eWalter +7 more
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Engineering Applications of Computational Fluid Mechanics, 2020 Accurate streamflow prediction is essential in reservoir management, flood control, and operation of irrigation networks. In this study, the deterministic and stochastic components of modeling are considered simultaneously.
Zhen Wang +6 more
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Variable Selection for Spatial Logistic Autoregressive Models
Mathematics, 2022 When the spatial response variables are discrete, the spatial logistic autoregressive model adds an additional network structure to the ordinary logistic regression model to improve the classification accuracy. With the emergence of high-dimensional data
Jiaxuan Liang +4 more
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Bayesian Subset Selection of Seasonal Autoregressive Models
Mathematics, 2023 Seasonal autoregressive (SAR) models have many applications in different fields, such as economics and finance. It is well known in the literature that these models are nonlinear in their coefficients and that their Bayesian analysis is complicated ...
Ayman A. Amin +3 more
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CoRRAutoRegressive (AR) models have demonstrated competitive performance in image generation, achieving results comparable to those of diffusion models. However, their token-by-token image generation mechanism remains computationally intensive and existing solutions such as VAR often lead to limited sample diversity.
Hongyu Wu +3 more
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Longitudinal wind speed time series generation to wind turbine controllers tuning
International Journal of Renewable Energy Development, 2018 Although there are a wide variety of applications that require wind speed time series (WSTS), this paper emphases on WSTS to be used into wind turbine controllers tuning. These simulations involve several WSTS to perform a proper assessment.
Asier González-González +1 more
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A Review on Bangla Text-to-Speech With Human-Like Expressions
IEEE AccessText-to-Speech (TTS) synthesis for Bangla has encountered steady improvement over the last decade made possible because of rapid improvements in deep learning, and ever-increasing amount of speech resources.
Robiul Islam +4 more
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