Results 51 to 60 of about 705 (186)

Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion [PDF]

Equivalent circuit model (ECM) parameters identification, which aims to identify the model parameters of ECM accurately is vital for assessing battery status and refining battery management systems (BMS), extensive research has been conducted in this ...
Zhao, Xuezhuan, Wang, Yi, Cai, Taotao, Zhang, Ji, Zhang, Kexin, Chen, Yu, Wu, Di, Li, Lingling   +7 more
core   +1 more source

A Robust Adaptive Filter for a Complex Hammerstein System

Entropy, 2019
The Hammerstein adaptive filter using maximum correntropy criterion (MCC) has been shown to be more robust to outliers than the ones using the traditional mean square error (MSE) criterion. As there is no report on the robust Hammerstein adaptive filters
Guobing Qian, Dan Luo, Shiyuan Wang
doaj   +1 more source

A Correntropy-Based Proportionate Affine Projection Algorithm for Estimating Sparse Channels with Impulsive Noise

Entropy, 2019
A novel robust proportionate affine projection (AP) algorithm is devised for estimating sparse channels, which often occur in network echo and wireless communication channels.
Zhengxiong Jiang, Yingsong Li, Xinqi Huang   +2 more
doaj   +1 more source

Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion

, 2020
n this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time difference-of-arrival (TDOA) location estimator in the presence of non-line-of-sight (NLOS) propagationconditions.
Xiong, Wenxin, Schindelhauer, Christian, Liang, Junli, So, Hing Cheung   +3 more
core   +1 more source

Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channels

Entropy, 2017
A group-constrained maximum correntropy criterion (GC-MCC) algorithm is proposed on the basis of the compressive sensing (CS) concept and zero attracting (ZA) techniques and its estimating behavior is verified over sparse multi-path channels.
Yanyan Wang, Yingsong Li, Felix Albu, Rui Yang   +3 more
doaj   +1 more source

Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 754-768, June 2026.
ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang, Zhanbo Fang, Tianna Zhao, Duoqian Miao, Witold Pedrycz   +4 more
wiley   +1 more source

Robust sparse nonnegative matrix factorization based on maximum correntropy criterion

, 2018
Nonnegative matrix factorization (NMF) is a significant matrix decomposition technique for learning parts-based, linear representation of nonnegative data, which has been widely used in a broad range of practical applications such as document clustering,
Badong Chen, Wee Ser, Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping, Siyuan Peng, Zhiping Lin   +7 more
core   +1 more source

An adaptive kernel width convex combination method for maximum correntropy criterion

Journal of the Brazilian Computer Society, 2021
Recently, the maximum correntropy criterion (MCC) has been successfully applied in numerous applications regarding nonGaussian data processing. MCC employs a free parameter called kernel width, which affects the convergence rate, robustness, and steady ...
Aluisio I. R. Fontes, Leandro L. S. Linhares, João P. F. Guimarães, Luiz F. Q. Silveira, Allan M. Martins   +4 more
doaj   +1 more source

Evidence of Physiological Comodulation During Human–Animal Interaction: A Systematic Review

Annals of the New York Academy of Sciences, Volume 1560, Issue 1, June 2026.
From thirty‐seven studies on physiological comodulation in human–animal interaction, dogs and horses emerged as the most studied species, primarily in therapeutic and companionship settings. Cardiac and hormonal signals dominated the analyses, with correlation methods prevailing.
Ginevra Bargigli, Lorenzo Frassineti, Paolo Baragli, Chiara Scopa, Aglaia Vignoli, Antonio Lanata   +5 more
wiley   +1 more source

Use of extended reality, virtual reality, augmented reality and mixed reality in clinical practice, education and research in knee arthroplasty: A scoping review

Journal of Experimental Orthopaedics, Volume 13, Issue 2, April 2026.
Abstract Purpose This scoping review aims to map and evaluate the current body of literature on the use of extended reality (XR), including virtual reality (VR), augmented reality (AR) and mixed reality (MR), in the field of knee arthroplasty. There is a high global prevalence of knee osteoarthritis, and the frequency of knee replacement surgeries is ...
Ritesh Zun Xiong Deo, Trishan Manav Sri Ram, Hamid Rahmatullah Bin Abd Razak, Nanne Kort   +3 more
wiley   +1 more source