Feng Yin

TL;DR: In this article, the authors proposed a scalable Gaussian process (GP) framework to achieve large-scale wireless traffic prediction in a cost-efficient manner in C-RANs.

TL;DR: This work develops an iterative algorithm for robust position estimation that approximates the exact measurement error PDF under the current parameter estimate via adaptive kernel density estimation, and resolves a position estimate from the approximate log-likelihood function via a quasi-Newton method.

TL;DR: In this article, an iterative method is constructed to solve the linear matrix equation AXB=C over skew-symmetric matrix X. The method can be used to determine the solvability of the equation over skew symmetric matrix.

TL;DR: In this paper, the authors review state-of-the-art algorithms in the context of federated learning, namely the deep neural network model and the Gaussian process model, and various distributed model hyper-parameter optimization schemes.

TL;DR: In this article, a fuzzy logic controller is configured to receive, from at least one of the plurality of ultrasound imaging generating subsystems, input data including pixel images and data for generating pixel image data, to process the input data using a set of inference rules to produce fuzzy output; and to convert the fuzzy output into numerical values or system states for controlling the transmit subsystem and the receiver subsystem that generate the pixel images.