Results 81 to 90 of about 2,111 (181)

Robust Clustering and Anomaly Detection of User Electricity Consumption Behavior Based on Correntropy

IET Generation, Transmission &Distribution, Volume 19, Issue 1, January/December 2025.
This paper proposes a robust, user‐type‐specific anomaly detection method for electricity usage. First, after data cleaning and preprocessing, a correntropy‐based K‐means clustering method is proposed to perform robust clustering, effectively separating users with non‐Gaussian noisy data.
Teng Zhang, XuSheng Qian, Yu Zhou, GaoJun Xu, Ming Wu   +4 more
wiley   +1 more source

Robust Dynamic State Estimation of Power System With Measurement Outliers Based on Parameterized Analytical Cubature Kalman Filter

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
Accurate state estimation is paramount for the smooth operation and management of power systems, significantly contributing to their safety, stability, and reliability. However, the presence of channel noise and outliers stemming from phasor measurement units renders the noise model a deviation from the Gaussian distribution. To mitigate this challenge,
Mingyang Liu, Yanxin Liu, Yi Wang, Venkata Dinavahi, Ze Gao   +4 more
wiley   +1 more source

Kernel adaptive filtering with maximum correntropy criterion [PDF]

The 2011 International Joint Conference on Neural Networks, 2011
Kernel adaptive filters have drawn increasing attention due to their advantages such as universal nonlinear approximation with universal kernels, linearity and convexity in Reproducing Kernel Hilbert Space (RKHS). Among them, the kernel least mean square (KLMS) algorithm deserves particular attention because of its simplicity and sequential learning ...
Songlin Zhao, Badong Chen, Jose C. Principe   +2 more
openaire   +1 more source

Passive Target Motion Analysis With Own‐Ship Location Uncertainty in the Presence of Non‐Gaussian Sensor Noise

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
This work explores underwater TMA by incorporating time delay and Doppler frequency measurements along with angle data, eliminating the need for own‐ship manoeuvre and improving estimation accuracy in presence of non‐Gaussian sensor noise. Furthermore, since the own‐ship's position is inherently uncertain due to navigation errors, this work addresses ...
Rohit Kumar Singh, Shreya Das, Shovan Bhaumik   +2 more
wiley   +1 more source

Cooperative Positioning for Multi-AUVs Based on Factor Graph and Maximum Correntropy

IEEE Access, 2019
Cooperative positioning (CP) is considered as a promising positioning method for multiple autonomous underwater vehicles (multi-AUVs), because CP is characterized by low cost and high precision.
Shiwei Fan, Ya Zhang, Qiang Hao, Pan Jiang, Chunyang Yu, Fei Yu   +5 more
doaj   +1 more source

Robustness analysis of a Maximum Correntropy framework for linear regression

, 2017
In this paper we formulate a solution of the robust linear regression problem in a general framework of correntropy maximization. Our formulation yields a unified class of estimators which includes the Gaussian and Laplacian kernel-based correntropy ...
Bako, Laurent
core  

Multicriteria Learning: Combining Minimum Mean Square Error, Minimum Error Entropy, and Maximum Correntropy in the Presence of Gaussian and Non‐Gaussian Noises

IET Signal Processing, Volume 2025, Issue 1, 2025.
Understanding natural phenomena relies heavily on learning criteria aimed at minimizing model errors and enhancing fidelity to real‐world conditions. This study investigates a linear combination of three criteria: minimum mean square error (MMSE), minimum error entropy (MEE), and maximum correntropy criterion (MCC), using a gradient descent algorithm ...
Fatemeh Mohamaddust, Saeid Pakravan, Ghosheh Abed Hodtani, Yongcheng Jing   +3 more
wiley   +1 more source

An adaptive combination constrained proportionate normalized maximum correntropy criterion algorithm for sparse channel estimations

EURASIP Journal on Advances in Signal Processing, 2018
An adaptive combination constrained proportionate normalized maximum correntropy criterion (ACC-PNMCC) algorithm is proposed for sparse multi-path channel estimation under mixed Gaussian noise environment. The developed ACC-PNMCC algorithm is implemented
Yanyan Wang, Yingsong Li, José Carlos M. Bermudez, Xiao Han   +3 more
doaj   +1 more source

Enhancing Smart City Security: An Intrusion Detection System Using Machine Learning Methods With the UNB CIC IoT 2023 Dataset

IET Smart Cities, Volume 7, Issue 1, January/December 2025.
Security of smart cities using machine learning methods. ABSTRACT Smart cities, characterised by their extensive use of IoT devices, aim to enhance urban living through improved efficiency, sustainability and quality of life. However, the widespread integration of IoT technology introduces significant cybersecurity challenges, including vulnerabilities
Mehdi Houichi, Faouzi Jaidi, Adel Bouhoula   +2 more
wiley   +1 more source

Type‐3 Fuzzy System‐Based Intelligent Control Approaches and Applications

Advances in Fuzzy Systems, Volume 2025, Issue 1, 2025.
Type‐3 fuzzy logic has been recently used in many control methods. The type‐3 fuzzy controller enhances the handling of uncertainty and improves robustness by integrating fuzzy sets with fuzzy membership functions. The latest approaches using type‐3 fuzzy logic in the field of control are studied and evaluated.
Turki Y. Abdalla, AbdulKareem Y. Abdalla, Adala M. Chyaid, Katsuhiro Honda   +3 more
wiley   +1 more source