An Approximate Regularized ML Approach to Censor Outliers in Gaussian Radar Data [PDF]
This paper considers the problem of censoring outliers from the secondary dataset in a radar scenario where the sample support is limited. To this end, the generalized regularized likelihood function (GRLF) criterion is used and the corresponding regularized maximum likelihood (RML) estimate of the outlier subset is derived.
Han S. +4 more
openaire +6 more sources
Heuristic Algorithms for One-Slot Link Scheduling in Wireless Sensor Networks under SINR
One-slot link scheduling is important for enhancing the throughput capacity of wireless sensor networks. It includes two aspects: maximum links scheduling (MLS) and maximum weighted links scheduling (MWLS).
Hui Deng +4 more
doaj +1 more source
A Simplified Interpolating Moving Least-Squares Method and its Error Estimates [PDF]
A disadvantage of the MLS approximation is that the shape function of this method does not satisfy the property of Kronecker Delta function. Thus developing an interpolating MLS approximation is very important.
Ju Feng Wang
core +1 more source
The element-free Galerkin scaled boundary method (EFG-SBM) based on moving Kriging (MK) interpolation is used to solve steady heat conduction problems with temperature loads on side-faces, in which the circumferential boundary is discretized based on MK ...
WANG Feng, CHEN Jiali, CHEN Denghong, FAN Yong, LI Zhiyuan, HE Weiping
doaj +1 more source
Static and Free Vibration Analyses of Functionally Graded Nano-composite Plates Reinforced by Wavy Carbon Nanotubes Resting on a Pasternak Elastic Foundation [PDF]
In this study, static and free vibration analyses of functionally graded (FG) nanocomposite plates, reinforced by wavy single-walled carbon nanotubes (SWCNTs) resting on a Pasternak elastic foundation, were investigated based on a mesh-free method and ...
R. Moradi Dastjerdi +3 more
doaj +1 more source
Adaptive Numerical Method for Approximation of Traffic Flow Equations
For a long time now, traffic equations have been considered, and different modeling has been done for it. In this article, we work on the macroscopic model, especially the most famous light model.
Neda Najafzadeh +2 more
semanticscholar +1 more source
ML-Assisted Resource Allocation Outage Probability: Simple, Closed-Form Approximations
In this paper, we establish simple and efficient approximations for the outage probability of a single-user multi-resource allocation system that consists of a machine learning (ML) based outage predictor whose task is to assign resources to the user while minimizing outages. We begin by presenting the outage probability expressions for this system. We
Rashika Raina +3 more
openaire +2 more sources
A numerical analysis based on the meshless local Petrov- Galerkin (MLPG) method is proposed for a functionally graded material FGM (FGMfunctionally graded material) beam.
Sátor Ladislav +2 more
doaj +1 more source
Meshless approach based on MLS with additional constraints for large deformation analysis
In the present work, we are interested to develop a meshless approach, based on the strong form MLS approximation with additional constraints, to solve the nonlinear elastic and elsto-plastic problems for regular and irregular distribution of points.
R. E. Kadmiri +3 more
semanticscholar +1 more source
Meshless Local Petrov–Galerkin Formulation of Inverse Stefan Problem via Moving Least Squares Approximation [PDF]
In this paper, we study the meshless local Petrov–Galerkin (MLPG) method based on the moving least squares (MLS) approximation for finding a numerical solution to the Stefan free boundary problem.
Saeid Abbasbandy +2 more
core +1 more source

