The FCM-guided deep learning model for low-frequency oscillation damping for electric power networks DOI
Md Shafiullah

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Language: Английский

Extraction of phase information for moiré fringes based on adaptive wavelet basis frequency DOI

Z. E. Cao,

Yunyun Chen,

Jian Jiang

et al.

Applied Optics, Journal Year: 2025, Volume and Issue: 64(13), P. 3677 - 3677

Published: April 25, 2025

As a critical step in moiré tomography, the extraction of phase information directly impacts accuracy and resolution results. In this study, an adaptive wavelet basis frequency selection method is proposed for extracting fringes. The theories are derived based on fringe intensity distribution, followed by numerical simulations that demonstrate feasibility reliability our method. Subsequently, validation experiments performed, which obtained compared with Fourier ridge detection methods. results indicate introduction demonstrates advantages noise resistance, accuracy, efficiency. Meanwhile, it exhibits greater adaptability robustness to fringes different carrier frequencies. summary, opens great possibilities precise analysis complex optical fringes, will expand application potential tomography.

Language: Английский

Citations

0
A Survey on Manta Ray Foraging Optimization Algorithm of Variants and Applications DOI Creative Commons

Yangyang Zheng,

Le Yi Wang, Jialing Hu

et al.

International Journal of Swarm Intelligence Research, Journal Year: 2024, Volume and Issue: 15(1), P. 1 - 29

Published: July 30, 2024

This review paper delves into the original MRFO and its variants, focusing on single-objective algorithms including but not limited to hybrid algorithms, learning strategies, multiple populations dynamic parameter adjustment, highlighting improvements made enhance algorithm's efficiency in global optimization, accelerate convergence rates, improve capacity evade local optima. has emerged as an effective tool for solving complex optimization problems across various domains, energy biomedical field, engineering problems, others. A comprehensive analysis of applications different fields is provided, emphasizing adaptability efficacy. The concludes with a discussion challenges faced by potential future research directions, aiming consolidate current status guide investigations.

Language: Английский

Citations

2
Exploring the graphitization transformation mechanism of deposited carbon in molten salt electrolysis: A novel insight from molecular structure models DOI

Tao Rong,

Hongyi Kang,

Yaqiang Yuan

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 156016 - 156016

Published: Sept. 1, 2024

Language: Английский

Citations

1
A multi-objective analysis for enhanced energy and exergy performances of an integrated compressed air energy storage system using the meta-heuristic whale optimization algorithm DOI
Qiuli Li, Fei Cai, Saleem Abbas

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 105, P. 114681 - 114681

Published: Nov. 22, 2024

Language: Английский

Citations

1
The FCM-guided deep learning model for low-frequency oscillation damping for electric power networks DOI
Md Shafiullah

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Language: Английский

Citations

0