Microdramas, predictive modeling and generative AI are moving audience data upstream — reshaping how stories are imagined, ...

Abstract: To address the issue of degraded positioning accuracy in the Inertial Navigation System/Global Navigation Satellite System (INS/GNSS) integrated navigation systems caused by inaccurate ...

Many of the common iterative algorithms found in Tomography are missing from the library. They usually don't really fit in any first order algorithm canva (forward-backward, primal-dual etc). Now that ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...

In the published article, there was an error in the Authors order. Instead of “Lihao Yao, Honglei Qin, Deyong Xian, Boyun Gu, Hai Sha, Gangqiang Guan, Zhijun Liu ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

Large language models have made remarkable strides in natural language processing, yet they still encounter difficulties when addressing complex planning and reasoning tasks. Traditional methods often ...

Abstract: The total least squares (TLS) algorithm is a superior identification tool for low-order errors-in-variables (EIV) systems, where the estimate can be obtained by solving an eigenvector of the ...