Results 21 to 30 of about 16,552 (238)

Adaptive Image Mismatch Removal With Vector Field Interpolation Based on Improved Regularization and Gaussian Kernel Function

open access: yesIEEE Access, 2018
When the regularized kernel methods are utilized in the mismatch removal problem, the regularization coefficient and the choice of kernel function will seriously affect the performance of the methods.
Yongjun Zhang   +4 more
doaj   +1 more source

Tracking Algorithm with Adaptive Bandwidth of Kernel Function for UAV Autonomous Aerial Refueling

open access: yesMATEC Web of Conferences, 2017
The use of machine vision to track the receiver aircraft’s receptacle is one of the key steps in automated aerial refueling. Traditional Meanshift tracking algorithm’s kernel bandwidth is fixed, when the target size changes, it will produce with the bias
Wang ZhuoYa   +4 more
doaj   +1 more source

Adaptive Filtering Under the Maximum Correntropy Criterion With Variable Center

open access: yesIEEE Access, 2019
Recently, an extended version of correntropy, whose center can locate at any position has been proposed and applied in a new optimization criterion called maximum correntropy criterion with variable center (MCC-VC).
Lingfei Zhu   +3 more
doaj   +1 more source

An adaptive Markov chain algorithm applied over map-matching of vehicle trip GPS data

open access: yesGeo-spatial Information Science, 2021
Markov chains have frequently been applied to match the probable routes with a set of GPS trip data that a pilot vehicle is emitting over a specific graph road network.
Bilge Kaan Karamete   +2 more
doaj   +1 more source

A self-adaptive mean shift tree-segmentation method Using UAV LiDAR data

open access: yesRemote Sensing, 2020
Unmanned aerial vehicles using light detection and ranging (UAV LiDAR) with high spatial resolution have shown great potential in forest applications because they can capture vertical structures of forests.
Wanqian Yan   +5 more
doaj   +1 more source

Hyperparameter Free RKHS-Based Non-Linear Parameter Estimation for Radar Sensors

open access: yesIEEE Access
Estimation of the target’s location and velocity using radar sensors is a long-standing problem, and improving the accuracy of these estimates is still an open challenge.
Uday Kumar Singh   +5 more
doaj   +1 more source

Application of image processing and soft computing strategies for non-destructive estimation of plum leaf area.

open access: yesPLoS ONE, 2022
Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods were used in this study to estimate the LA of four plum genotypes, including three greengage genotypes (Prunus domestica [subsp. italica var.
Atefeh Sabouri   +3 more
doaj   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Robust Adaptive Generalized Correntropy-based Smoothed Graph Signal Recovery with a Kernel Width Learning

open access: yes, 2022
This paper proposes a robust adaptive algorithm for smooth graph signal recovery which is based on generalized correntropy. A proper cost function is defined for this purpose. The proposed algorithm is derived and a kernel width learning-based version of the algorithm is suggested which the simulation results show the superiority of it to the fixed ...
Torkamani, Razieh   +2 more
openaire   +2 more sources

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