Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...

This study addresses the challenge of efficiently and accurately computing three-dimensional undulating surface magnetic field data, which has become increasingly difficult with the development of ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 43, No. 3 (1994), pp. 533-540 (8 pages) This item is part of a JSTOR Collection. For ...

Second Research Department, China Research Institute of Radiowave Propagation, Qingdao, China Automatic Identification System (AIS) operates within a very high frequency (VHF) maritime mobile band, ...

To build the Docker image for the our environment, we use VNC docker, which allows for a graphical user interface displayable in the browser. roslaunch manipulator_control full_pose_trajectory.launch ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

This technology was initially widely used in urban modeling, surveying, and smart city construction. Later, with improvements ...

Investigating pretreatment techniques, this research reveals how microstructural improvements can enhance the performance of ...

BlackBerry catapulted the rebel director into the mainstream. Now he’s making the Bourdain biopic Tony. Can a pop ...