A Novel Boundary-Type Meshless Method for Modeling Geofluid Flow in Heterogeneous Geological Media by Jing-En Xiao, Cheng-Yu Ku, Chih-Yu Liu, Wei-Chung Yeih

“…To deal with the subsurface flow problems of heterogeneous geological media, the domain decomposition method was adopted so that flux conservation and the continuity of pressure potential at the interface between two consecutive layers can be considered in the numerical model. …”
Get full text

Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

“…A multipoint leak detection and location method for urban gas pipelines based on variational mode decomposition and relative entropy was proposed. …”
Get full text

Prediction of Dissolved Gas Concentration in Transformer Oil Based on Hybrid Mode Decomposition and LSTM-CNN by Tie CHEN, Zhifan ZHANG, Xianshan LI, Yifu CHEN, Hongxin LI

“…Predicting the concentration of dissolved gas in oil can help to know in advance the operation trend of transformers. A prediction method is thus proposed based on hybrid mode decomposition and LSTM-CNN network to achieve accurate gas concentration prediction. …”
Get full text

Tensor decomposition based-joint active device detection and channel estimation under frequency offset by QU Ruiyun, LIU Zujun, HUANG Beilei

“…In order to avoid the non-convexity introduced by the nonlinear between the frequency offsets and the channels, firstly, tensor decomposition was used to model the received signal from the perspective of the preamble sequence, channel, and frequency offset. …”
Get full text

Time Series Prediction of Aerodynamic Noise Based on Variational Mode Decomposition and Echo State Network by Zhoufanxing Lei, Haiyang Meng, Jing Yang, Bin Liang, Jianchun Cheng

“…Due to the significant dynamical and non-stationary characteristics of aerodynamic noise, it is challenging to precisely predict its temporal behavior. Here, we propose a method combining variational mode decomposition (VMD) and echo state network (ESN) to accurately predict the time series of aerodynamic noise induced by flow around a cylinder. …”
Get full text

Differences in soil properties and the rates of decomposition of plant biomass on non-organically and organically managed soils by Triana Pitaloka, Dulbari Dulbari, Junita Barus

“…Organic farming has been advocated as a more environmentally sound and ecologically balanced alternative to the dominant agricultural model. This study compared the decomposition of plant biomass in organically and non-organically managed soil properties. …”
Get full text

SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction by Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Caifeng Gao, Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

“…It integrates time seriesfrequency domain analysis with the decomposition of deep learning models. This approach facilitates the capture of interdependencies among high - dimensional features through time series decomposition, employs Fourier Transform to mitigate noise interference, and incorporates sparse attention mechanisms to selectively filter critical frequency components, thereby enhancing time - dependent modeling. …”
Get full text

SAR Images Despeckling Using Subaperture Decomposition and Non-Local Low-Rank Tensor Approximation by Xinwei An, Hongcheng Zeng, Zhaohong Li, Wei Yang, Wei Xiong, Yamin Wang, Yanfang Liu

“…Subaperture decomposition yields azimuth-frame subimages with high global structural similarity, which are modeled as low-rank and formed into a 3D tensor. …”
Get full text

Geny: a genotyping tool for allelic decomposition of killer cell immunoglobulin-like receptor genes by Qinghui Zhou, Mazyar Ghezelji, Ananth Hari, Ananth Hari, Michael K. B. Ford, Connor Holley, S. Cenk Sahinalp, Ibrahim Numanagić

Get full text

« Décomposition fécondante » : la chimie organique et les savoirs du vivant chez Flaubert by Judith Wulf

Get full text

Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD has many advantages over other decomposition methods, notably for non-stationary signals and noise. …”
Get full text

Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series Data by David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung

Get full text

Applying Progressive Frequency Bands to Improve Image Quality and Training Stability of GAN by Chae-Eun Lee, Sung Hoon Jung

Get full text

Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…A DHKELM-based combined prediction model is developed for each component of the decomposition, tailored to different weather types. …”
Get full text

YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time–Frequency Fusion by Yihang Peng, Jianjie Zhang, Songpeng Liu, Mingyang Zhang, Yichen Guo

Get full text

Koopman-Based Model Predictive Control of Functional Electrical Stimulation for Ankle Dorsiflexion and Plantarflexion Assistance by Mayank Singh, Noor Hakam, Trisha M. Kesar, Nitin Sharma

Get full text

A Physics-Informed Neural Network Based on the Boltzmann Equation with Multiple-Relaxation-Time Collision Operators by Zhixiang Liu, Chenkai Zhang, Wenhao Zhu, Dongmei Huang

“…The micro–macro decomposition method is applied to improve learning efficiency. …”
Get full text

Online identification of stability region for large-scale wind farms, Part II: Construction of stability region boundary by Jia Luo, Peng Wang, Haoran Zhao, Yonghan Liu, Vladimir Terzija

Get full text

The superior coupled model with innovative strategy for accurate imputation of missing hydrological monitoring data in water research-A case of groundwater level data by Xian-Qi Zhang, Zi-Yu Li, Xian-Liang Liu, Xiao-Yan Wu, Xin-Yong Xu, En-Kuan Li, Bo-Wen Wang, Su-Bo Han, Shao-Bo Liu

“…This paper proposes a strategy of “Decomposition-Classification-Feature Extraction-Imputation” and establishes a coupled model integrating Extreme-point Symmetric Mode Decomposition (ESMD), Permutation Entropy (PE), Singular Value Decomposition (SVD), and Whale Optimization Algorithm-Bidirectional Long Short-Term Memory (WOA-BiLSTM) for the hydrological monitoring data imputation. …”
Get full text

A New Method for Estimating the Input-Energy of MDOF Structures by D. Davarnia, B. Farahmand Azar

Get full text