Results 71 to 80 of about 705 (186)
IET Signal Processing, Volume 2026, Issue 1, 2026.The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley +1 more source
Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion.
, 2020 Semisupervised learning (SSL) methods have been proved to be effective at solving the labeled samples shortage problem by using a large number of unlabeled samples together with a small number of labeled samples. However, many traditional SSL methods may
Du B, Zhang L, Tao D, Wang Z, Xinyao T
core +1 more source
MPHLDAE‐1DCNN: A Novel Denoising Method for Improved Fault Diagnosis
International Journal of Rotating Machinery, Volume 2026, Issue 1, 2026.Fault diagnosis of rotating machines has undergone significant advancements through the use of deep learning models. However, the effectiveness of these models is often compromised by noisy raw vibration data collected from industrial machines, which can negatively impact accuracy rates. To address this challenge, we present an improved fault diagnosis
Fasikaw Kibrete +3 more
wiley +1 more source
Engineering Reports, Volume 7, Issue 1, January 2025.Simulation model of proposed system. ABSTRACT The increasing global energy demand driven by climate change, technological advancements, and population growth necessitates the development of sustainable solutions. This research investigates the design, modeling, and simulation of a 2.5 MW solar‐wind hybrid renewable energy system (SWH‐RES) optimized for
F. Max Savio +5 more
wiley +1 more source
Robust Capsule Network Based on Maximum Correntropy Criterion for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Recently, deep learning-based algorithms have been widely used for classification of hyperspectral images (HSIs) by extracting invariant and abstract features.
Heng-Chao Li +5 more
doaj +1 more source
IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu +4 more
wiley +1 more source
One-step condensed forms for square-root maximum correntropy criterion Kalman filtering
, 2023 This paper suggests a few novel Cholesky-based square-root algorithms for the maximum correntropy criterion Kalman filtering. In contrast to the previously obtained results, new algorithms are developed in the so-called {\it condensed} form that ...
Kulikova, Maria
core +1 more source
Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise
IEEE Access, 2020 Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He +3 more
doaj +1 more source
KLMS‐Net: Deep unrolling for kernel least mean square algorithm
Electronics Letters, Volume 61, Issue 1, January/December 2025.This letter proposes a novel network framework based on the deep unrolling of kernel least mean square (KLMS‐Net). KLMS‐Net transforms the iterative process of KLMS into the forward propagation of deep neural networks, which learn the implicit feature mappings in a model‐driven manner, providing deep neural networks with explicit interpretability ...
Yu Tang +5 more
wiley +1 more source
Quaternion MLP Neural Networks Based on the Maximum Correntropy Criterion
, 2023 We propose a gradient ascent algorithm for quaternion multilayer perceptron (MLP) networks based on the cost function of the maximum correntropy criterion (MCC).
Tian, Xinyu, Zhang, Zuxuan, Wang, Gang
core