Results 71 to 80 of about 1,526 (199)
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
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Complex Correntropy Applied to a Compressive Sensing Problem in an Impulsive Noise Environment
IEEE Access, 2019 Correntropy is a similarity function capable of extracting high-order statistical information from data. It has been used in different kinds of applications as a cost function to overcome traditional methods in non-Gaussian noise environments. One of the
Joao P. F. Guimaraes +4 more
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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
Generalized Complex Correntropy: Application to Adaptive Filtering of Complex Data
IEEE Access, 2018 Adaptive filtering for complex data has received more attentions recently. As a similarity measure for the complex random variables, complex correntropy has been shown robustness in the design of adaptive filter.
Guobing Qian, Shiyuan Wang
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Learning Korobov Functions by Correntropy and Convolutional Neural Networks
Combining information-theoretic learning with deep learning has gained significant attention in recent years, as it offers a promising approach to tackle the challenges posed by big data. However, the theoretical understanding of convolutional structures,
Fan, Jun, Mao, Tong, Fang, Zhiying
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智能科学与技术学报, 2021 A method which utilizes maximum correntropy criterion and locality information called collaborative representation based classifier with maximum correntropy criterion and locality constraint (CRC/MCCLC) was proposed.On the one hand, CRC/MCCLC was not ...
Qinru YU, Guifu LU
doaj
Engineering Reports, Volume 7, Issue 7, July 2025.This paper presents a transfer learning‐based domain‐adaptive one‐dimensional convolutional neural network (1‐D CNN) designed to enhance fault diagnosis generalization across varying working conditions and improve adaptability for different types of rotating machines.
Fasikaw Kibrete +2 more
wiley +1 more source
Video Synchronization With Bit-Rate Signals and Correntropy Function
Sensors, 2017 We propose an approach for the synchronization of video streams using correntropy. Essentially, the time offset is calculated on the basis of the instantaneous transfer rates of the video streams that are extracted in the form of a univariate signal ...
Igor Pereira +2 more
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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
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Ain Shams Engineering JournalAiming at the challenges of strong ground clutter interference, low signal-to-noise ratio, and near-field non-stationary signals in detecting low, slow, and small (LSS) targets in low-altitude environments, this paper proposes a joint parameter ...
Li Li, Tianshuang Qiu
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