Results 81 to 90 of about 770,509 (245)

Effective Variable‐Speed Bearing Fault Diagnosis From Motor Current Signals Using Kurtosis‐Guided VMD and Multi‐Branch Convolutional Neural Network

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli, Mounir Djeddi, Aissa Kheldoun, Nima Khosravi, Adel Oubelaid   +4 more
wiley   +1 more source

Chebyshev semi-iteration in Preconditioning

, 2016
It is widely believed that Krylov subspace iterative methods are better than Chebyshev semi-iterative methods. When the solution of a linear system with a symmetric and positive definite coefficient matrix is required then the Conjugate Gradient method will compute the optimal approximate solution from the appropriate Krylov subspace, that is, it will ...
Rees, T, Wathen, A
openaire   +3 more sources

A Bi-Directional Coupling Calibration Model and Adaptive Calibration Algorithm for a Redundant Serial Robot with Highly Elastic Joints

Applied Sciences
This paper proposes a calibration method for redundant robot arms with highly elastic joints. The method uses the second-order Chebyshev polynomial to characterize the variation in the error with the poses of all joints.
Bin Wang, Zhouxiang Jiang
doaj   +1 more source

Discrete Spectrum Iteration Based Comprehensive Stability Assessment Method for the Delayed Cyber-Physical System With Electric-Vehicle Frequency Regulation

IEEE Access, 2020
Nowadays, the increasing penetration of renewable energies often leads to system frequency variation due to the intermittent outputs, which limits the utilization of renewable electricity and brings higher requirements to frequency regulation. Aggregated
Yimei Zhang, Chaoyu Dong, Qian Xiao, Mingshen Wang, Kai Hou, Hongjie Jia   +5 more
doaj   +1 more source

MA‐LCPPA: A Multi‐Aggregator Lattice‐Based Conditional Privacy‐Preserving Authentication Scheme for Scalable and Quantum‐Secure VANETs

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper addresses the limitations of existing conditional privacy‐preserving authentication (CPPA) schemes in vehicular ad hoc networks (VANETs), which are either computationally heavy or vulnerable to quantum attacks. It proposes a multi‐aggregator lattice‐based CPPA (MA‐LCPPA) framework that distributes verification across multiple roadside units ...
Adi El‐Dalahmeh, Jie Li
wiley   +1 more source

A Low-Complexity Data Detection Algorithm for Massive MIMO Systems

IEEE Access, 2019
Achieving high spectral efficiency in realistic massive multiple-input multiple-output (M-MIMO) systems entail a significant increase in implementation complexity, especially with respect to data detection.
Imran A. Khoso, Xiaoming Dai, M. Nauman Irshad, Ali Khan, Xiyuan Wang   +4 more
doaj   +1 more source

Interpretable Multi‐Turbine Output Prediction of Offshore Wind Farms Based on FAGTTN Model

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper proposes a power prediction model feature attention graph convolutional neural network with temporal transformers (FAGTTN) for offshore wind farms based on the feature attention module, adaptive graph convolutional neural network (AGCN) and temporal transformers.
Xiangjing Su, Yizhuo Wang, Junhao Gong, Zhengyu Liu, Yang Fu, Zhaoyang Dong   +5 more
wiley   +1 more source

Reflections on How Wheat Flour Lipids Impact the Viscoelastic Properties of Gluten Proteins

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 1, January 2026.
ABSTRACT Endogenous wheat flour lipids are known to play an important role in baked product quality, even though they constitute a minor fraction of wheat flour composition. They interact with gluten proteins throughout the different stages of dough processing and therefore contribute to specific quality traits in baked products.
Gamze Yazar, Jozef L. Kokini
wiley   +1 more source

Exploring the Applicability of Chaotic Maps in Artificial Hummingbird Algorithm: From Algorithm Construction to Case Verification

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
A research gap exists concerning how different chaotic mappings influence the applicability of metaheuristic algorithms, along with inherent limitations of the traditional artificial hummingbird algorithm (AHA). Specifically, blind spots in population coverage and vulnerability to local optima stemming from random initialization.
Wenli Ma, Xin Sun, Qiaoling Du, Said El Kafhali   +3 more
wiley   +1 more source