|
|
|
|
|
Zongxiang Liu, Chunmei Zhou and Junwen Luo
The random finite set (RFS) approach for multi-target tracking is widely researched because it has a rigorous theoretical basis. However, many prior parameters such as the clutter density, survival probability and detection probability of the target, pru...
ver más
|
|
|
|
|
|
|
|
|
|
|
Victor Shutyaev, Vladimir Zalesny, Valeriy Agoshkov, Eugene Parmuzin and Natalia Zakharova
The use of Four-Dimensional variational (4D-Var) data assimilation technology in the context of sea dynamics problems, with a sensitivity analysis of model results to observation errors, is presented. The technology is applied to a numerical model of oce...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yihao Fang, Mu Niu, Pokman Cheung and Lizhen Lin
We propose an extrinsic Bayesian optimization (eBO) framework for general optimization problems on manifolds. Bayesian optimization algorithms build a surrogate of the objective function by employing Gaussian processes and utilizing the uncertainty in th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eike Jakubowitz, Thekla Feist, Alina Obermeier, Carina Gempfer, Christof Hurschler, Henning Windhagen and Max-Heinrich Laves
Human grasping is a relatively fast process and control signals for upper limb prosthetics cannot be generated and processed in a sufficiently timely manner. The aim of this study was to examine whether discriminating between different grasping movements...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pejman Ebrahimi, Hakimeh Dustmohammadloo, Hosna Kabiri, Parisa Bouzari and Mária Fekete-Farkas
For many years, entrepreneurs were considered the change agents of their societies. They use their initiative and innovative minds to solve problems and create value. In the aftermath of the digital transformation era, a new group of entrepreneurs have e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhongjie He, Yueqi Zhao, Xiachuan Fu, Xin Sheng and Siwen Xu
Motivated by the need for a simple and effective assimilation scheme that could be used in a relocatable ocean model, a new assimilation algorithm called ensemble optimal smoothing (EnOS) was developed. This scheme was a straightforward extension of the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haksu Lee, Haojing Shen and Dong-Jun Seo
This paper presents a comparative geometric analysis of the conditional bias (CB)-informed Kalman filter (KF) with the Kalman filter (KF) in the Euclidean space. The CB-informed KFs considered include the CB-penalized KF (CBPKF) and its ensemble extensio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marcio Luis Ferreira Nascimento, Daniel Roberto Cassar, Riccardo Ciolini, Susana de Oliveira Souza and Francesco d?Errico
A database of 479 glass formulations used to immobilize radioactive wastes for facilities in a safe and resilient infrastructure was analyzed, searching for underlying statistical patterns and associated glass performance features. The analyzed data cove...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ping Dong, Jianhua Cheng and Liqiang Liu
In this paper, a novel anti-jamming technique based on black box variational inference for INS/GNSS integration with time-varying measurement noise covariance matrices is presented. We proved that the time-varying measurement noise is more similar to the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jose M. Gonzalez-Ondina, Lewis Sampson and Georgy I. Shapiro
Data assimilation methods are an invaluable tool for operational ocean models. These methods are often based on a variational approach and require the knowledge of the spatial covariances of the background errors (differences between the numerical model ...
ver más
|
|
|
|
|
|