Results 31 to 40 of about 45,297 (262)

A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling.

PLoS ONE, 2022
In this article, we proposed an improved finite population variance estimator based on simple random sampling using dual auxiliary information. Mathematical expressions of the proposed and existing estimators are obtained up to the first order of ...
Sohaib Ahmad, Sardar Hussain, Kalim Ullah, Erum Zahid, Muhammad Aamir, Javid Shabbir, Zubair Ahmad, Huda M Alshanbari, Wejdan Alajlan   +8 more
doaj   +1 more source

Random finite sets based UPF-CPHD multi-object tracking

Tongxin xuebao, 2012
A multiple tracking method based on UPF-CPHD was proposed,in which the state and observation of the object were both described by the random finite sets (RSF).The CPHD algorithm was also introduced into the UPF framework to simultaneously deduce the ...
Hui-bin WANG, Zhe CHEN, Xin WANG, Yu MA
doaj   +2 more sources

Multiagent Information Fusion for Connected Driving: A Review

IEEE Access, 2022
This paper reviews the state-of-the-art multi-sensor fusion approaches applicable in the next-generation intelligent transportation systems where connected vehicles are cooperatively driven for maximum safety and efficiency.
James Klupacs, Amirali Khodadadian Gostar, Tharindu Rathnayake, Iqbal Gondal, Alireza Bab-Hadiashar, Reza Hoseinnezhad   +5 more
doaj   +1 more source

An Unbalanced Weighted Sequential Fusing Multi-Sensor GM-PHD Algorithm

Sensors, 2019
In this paper, we study the multi-sensor multi-target tracking problem in the formulation of random finite sets. The Gaussian Mixture probability hypothesis density (GM-PHD) method is employed to formulate the sequential fusing multi-sensor GM-PHD (SFMGM-
Han Shen-Tu, Hanming Qian, Dongliang Peng, Yunfei Guo, Ji-An Luo   +4 more
doaj   +1 more source

A generalized class of estimators for sensitive variable in the presence of measurement error and non-response.

PLoS ONE, 2022
In this paper, a general class of estimators is proposed for estimating the finite population mean for sensitive variable, in the presence of measurement error and non-response in simple random sampling.
Erum Zahid, Javid Shabbir, Sat Gupta, Ronald Onyango, Sadia Saeed   +4 more
doaj   +1 more source

A Two-Stage Feature Point Detection and Marking Approach Based on the Labeled Multi-Bernoulli Filter

Sensors, 2022
In recent years, various algorithms using random finite sets (RFS) to solve the issue of simultaneous localization and mapping (SLAM) have been proposed.
Jiahui Yang, Weifeng Liu
doaj   +1 more source

On-Line Visual Tracking with Occlusion Handling

Sensors, 2020
One of the core challenges in visual multi-target tracking is occlusion. This is especially important in applications such as video surveillance and sports analytics.
Tharindu Rathnayake, Amirali Khodadadian Gostar, Reza Hoseinnezhad, Ruwan Tennakoon, Alireza Bab-Hadiashar   +4 more
doaj   +1 more source

A new approach for estimating variance of a population employing information obtained from a stratified random sampling

Heliyon, 2023
In this article, we suggest an enhanced estimator for the estimation of finite population variance using twofold auxiliary variable under stratified random sampling.
Sohaib Ahmad, Aned Al Mutairi, Said G. Nassr, Hassan Alsuhabi, Mustafa Kamal, Masood Ur Rehman   +5 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Stellar electron-capture rates on nuclei based on Skyrme functionals

EPJ Web of Conferences, 2014
In this work, electron-capture rates on nuclei for stellar conditions are calculated for Ni isotopes, using a self-consistent microscopic model based on the finite-temperature Skyrme Hartree-Fock plus finite-temperature charge-exchange random-phase ...
Fantina A. F., Khan E., Colò G., Paar N., Vretenar D.   +4 more
doaj   +1 more source