Results 51 to 60 of about 813 (142)
Complex Singular Spectrum Decomposition and its Application to Rotating Machinery Fault Diagnosis
IEEE Access, 2019 In recent years, singular spectrum decomposition (SSD) has been recognized as a powerful signal decomposition technique and has become a useful tool for fault signature extraction of rotating machinery.
Bin Pang, Guiji Tang, Tian Tian
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Mesh and Model Adaptivity for Multiscale Elastoplastic Models With Prandtl‐Reuss Type Material Laws
International Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.ABSTRACT Homogenization methods simulate heterogeneous materials like composites effectively, but high computational demands can offset their benefits. This work balances accuracy and efficiency by assessing model and discretization errors of the finite element method (FEM) through an adaptive numerical scheme.
Arnold Tchomgue Simeu +2 more
wiley +1 more source
International Transactions on Electrical Energy Systems, 2023 This paper presents an advanced strategy combining fuzzy logic and artificial neural networks (ANNs) for direct torque control (DTC) and broken-bar fault diagnosis in induction motors. More specifically, a fuzzy-based controller is used to simultaneously
Oualid Aissa +4 more
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Scrambling‐Enhanced Quantum Battery Charging in Black Hole Analogues
Advanced Science, Volume 13, Issue 11, 23 February 2026.By employing a black‐hole‐analog quantum battery constructed from a position‐dependent XY model, its dynamical behavior is investigated through a quench of the scrambling parameter. It is systematically quantified that how the simulated scrambling improves key performance metrics‐namely, stored energy, peak power, and charging time‐thereby offering a ...
Zhilong Liu +3 more
wiley +1 more source
Characterizing long interval cortical inhibition over the time-frequency domain. [PDF]
PLoS ONE, 2014 OBJECTIVE: Long-interval cortical inhibition (LICI) can be recorded from motor and non-motor regions of the cortex through combined transcranial magnetic stimulation (TMS) with electroencephalography (EEG).
Luis Garcia Dominguez +3 more
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Weight Trajectories During Inpatient Treatment for Anorexia Nervosa: A Dynamic Time Warp Analysis
International Journal of Eating Disorders, Volume 59, Issue 1, Page 169-178, January 2026.ABSTRACT Background Restoring weight is a primary goal during anorexia nervosa (AN) treatment. Previous studies linked different weight gain profiles to treatment outcomes, but there is currently no consensus on profile shapes and numbers. We argue that heterogeneity stems from temporal distortions (“warping”) in weight gain, and that similar weight ...
Marianne Tokic +5 more
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PhotonicsThe paper proposes a method for the calibration of spacing in dual-grating based on Multiple Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) combined with Hilbert Transform (HT), referred to as Multiple ICEEMDAN-HT.
Yanzhen Zhu +7 more
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Measurement-based solution for low frequency oscillation analysis
Journal of Modern Power Systems and Clean Energy, 2016 This paper presents a measurement-based solution for low frequency oscillation (LFO) analysis in both real time monitoring and off-line case study. An online LFO property discrimination method is developed first, which alternately uses empirical mode ...
Chen Shen +4 more
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Multi‐Channel Convolutional Neural Quantum Embedding
Advanced Quantum Technologies, Volume 9, Issue 1, January 2026.This study presents convolutional neural quantum embedding (CNQE), a framework for optimizing quantum data embeddings for multi‐channel data classification, grounded in quantum state discrimination and Fourier analysis of quantum circuits. CNQE is validated through proof‐of‐principle demonstrations on CIFAR‐10 and Tiny ImageNet, showing improved ...
Yujin Kim +4 more
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EBMBDT: Effective Block Matching Based Denoising Technique using dual tree complex wavelet transform
Machine Graphics & Vision, 2014 In processing and investigation of digital image denoising of images is hence very important. In this paper, we propose a Hybrid de-noising technique by using Dual Tree Complex Wavelet Transform (DTCWT) and Block Matching Algorithm (BMA).
M. Selvi
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