A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM

J Xin, C Zhou, Y Jiang, Q Tang, X Yang, J Zhou - Measurement, 2023 - Elsevier
Accurate monitoring data in bridge health monitoring systems are critical for grasping the
structural operation status. However, because of data missing and distortion induced by the …

Instantaneous frequency in time–frequency analysis: Enhanced concepts and performance of estimation algorithms

L Stanković, I Djurović, S Stanković… - Digital Signal …, 2014 - Elsevier
The instantaneous frequency (IF) is a very important feature of nonstationary signals in
numerous applications. The first overview of the concept and application of the IF estimators …

A long short‐term memory‐based model for greenhouse climate prediction

Y Liu, D Li, S Wan, F Wang, W Dou, X Xu… - … Journal of Intelligent …, 2022 - Wiley Online Library
Greenhouses can grow many off‐season vegetables and fruits, which improves people's
quality of life. Greenhouses can also help crops resist natural disasters and ensure the …

Digital twin-assisted real-time traffic data prediction method for 5G-enabled internet of vehicles

C Hu, W Fan, E Zeng, Z Hang, F Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of Internet of Vehicles (IoV) has produced a considerable amount of real-
time traffic data. These traffic data constitute a kind of digital twin that connects the physical …

Successive variational mode decomposition

M Nazari, SM Sakhaei - Signal Processing, 2020 - Elsevier
Variational mode decomposition (VMD) is a powerful technique for concurrently
decomposing a signal into its constituent intrinsic modes. However, the performance of VMD …

A time varying filter approach for empirical mode decomposition

H Li, Z Li, W Mo - Signal Processing, 2017 - Elsevier
A modified version of empirical mode decomposition (EMD) is presented to solve the mode
mixing problem. The sifting process is completed using a time varying filter technique. In this …

Edge-cloud-enabled matrix factorization for diversified APIs recommendation in mashup creation

F Wang, L Wang, G Li, Y Wang, C Lv, L Qi - World Wide Web, 2022 - Springer
A growing number of web APIs published on the Internet allows mashup developers to
discover appropriate web APIs for polishing mashups. Developers often have to manually …

Gear fault diagnosis based on genetic mutation particle swarm optimization VMD and probabilistic neural network algorithm

J Ding, D Xiao, X Li - Ieee Access, 2020 - ieeexplore.ieee.org
The decomposition number K and penalty factor α in the variational mode decomposition
(VMD) algorithm have a great influence on the decomposition effect and the accuracy of …

Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing

J Zheng, J Cheng, Y Yang - Signal Processing, 2014 - Elsevier
The problem of mode mixing caused by intermittence or noise signal is irritating in empirical
mode decomposition (EMD) method. A noise-assisted data analysis method called …

Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach

Q Xie, R Liu, T Qian, J Li - Energy Economics, 2021 - Elsevier
The extant literature mainly utilized the wavelet tools and EMD-type methods to investigate
linkages between different markets based on the frequency-domain information, confronting …