Transformer network for time series prediction via wavelet packet decomposition by Zhichao Wu, Aiye Shi, Yan Ping Tao

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Multiscale Image Representation and Texture Extraction Using Hierarchical Variational Decomposition by Liming Tang, Chuanjiang He

“…In order to achieve a mutiscale representation and texture extraction for textured image, a hierarchical (BV,Gp,L2) decomposition model is proposed in this paper. We firstly introduce the proposed model which is obtained by replacing the fixed scale parameter of the original (BV,Gp,L2) decomposition with a varying sequence. …”
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Multiple-Cumulant-Matrices-Based Method for Exact NF Polarization Localization with COLD Array by Jiefeng Zheng, Haifen Meng, Zhuang Luo, Huayue Wu, Weiyue Liu, Hua Chen

“…Based on an exact spherical wavefront model, this paper proposes a multiple-cumulant-matrices-based method for NF source localization using a Co-centered Orthogonal Loop and Dipole (COLD) array. …”
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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…Then, a pointer network with a local selection mechanism and a rough pruning mechanism is constructed as the sequencing network to generate an executable task sequence in the task sequencing stage. Next, a decomposition strategy decomposes the executable task sequence into multiple sub-sequences in the observation scheduling stage, and the observation scheduling process of these sub-sequences is modeled as a concatenated Markov decision process. …”
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Modification of Adomian decomposition technique in multiplicative calculus and application for nonlinear equations by Farooq Ahmed Shah, Muhammad Waseem, Alexey Mikhaylov, Gabor Pinter

“…The primary objective of this work is to modify and implement the Adomian decomposition method within the multiplicative calculus framework and to develop an effective class of multiplicative numerical algorithms for obtaining the best approximation of the solution of nonlinear equations. …”
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Managing Soil Biota-Mediated Decomposition and Nutrient Mineralization in Sustainable Agroecosystems by Joann K. Whalen

“…Next, it explores experimental approaches to measure the physical, chemical, and biological barriers to decomposition and nutrient mineralization. Methods are proposed to determine the rates of decomposition and nutrient release from organic residues. …”
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Chemical Underpinning of the Tea Bag Index: An Examination of the Decomposition of Tea Leaves by Sarah Duddigan, Liz J. Shaw, Paul D. Alexander, Chris D. Collins

“…Therefore, gaining a better understanding of how plant litter decomposes in soil, and what governs this process, is vital for global climate models. The Tea Bag Index (TBI) was introduced by Keuskamp et al. (2013) as a novel method for measuring litter decomposition rate and stabilisation. …”
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An analysis of the decomposition and driving force of carbon emissions in transport sector in China by Jing Gu, Shuhua Jiang, Jing Zhang, Jinde Jiang

“…It first calculates the China’s transport carbon emissions by IPCC carbon emission factor method, and then applies the Logarithmic Mean Divisia Index (LMDI) model for decomposition analysis. …”
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition by Jeong-Il Byeon, Wookyung Lee, Jihoon Choi

“…In this paper, we propose a novel imaging method for synthetic aperture radar (SAR) systems with compressive sensing (CS) by modifying the existing low-rank and sparse decomposition (LRSD) scheme. …”
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Synergistic and Antagonistic Effects of Mixed-Leaf Litter Decomposition on Nutrient Cycling by Vestine Mukamparirwa, Salim M. S. Maliondo, Canisius Patrick Mugunga

“…Specifically, we expected mixtures containing nutrient-rich species to exhibit synergistic effects, resulting in faster decay rates and sustained nutrient release, while mixtures with nutrient-poor species would demonstrate antagonistic effects, slowing decomposition. We conducted a mesocosm experiment using a custom wooden setup filled with soil, and the litterbag method was used to test various leaf litter mixtures. …”
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Overhead Transmission Line Modeling Strategies for EMT-Based Traveling-Wave Analysis and Fault Location by Adrian Wilmer Diaz Sarmiento, Jaimis Sajid Leon Colqui, Jose Pissolato Filho

“…The results show that: 1) uniform soil resistivity assumptions introduce negligible errors in TW arrival times despite minor amplitude variations; 2) shield wires significantly affect modal structure, compromising the effectiveness of Clarke transformation for ground quasi-mode decoupling while preserving aerial quasi-mode reliability; 3) exact eigenvector-based decomposition improves ground mode identification but remains impractical for field applications; 4) the classical two-terminal fault location method maintains high accuracy across all modeling configurations; and 5) simplified OHTL modeling uniformly distributed sections at both terminals achieves an optimal balance between accuracy and computational efficiency for simulating TWs. …”
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Construction control of cable-stayed bridge top push method based on BIM technology by Chengyong Chen, Wenming Su, Wenqiang Dou, Yongquan Dong, Ben Zhang

“…Abstract This research focuses on enhancing the precision and management of the top push method in cable-stayed bridge construction through the application of building information modeling (BIM) technology. …”
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Theoretical and empirical validation of software trustworthiness measure based on the decomposition of attributes by Hongwei Tao, Yixiang Chen, Hengyang Wu

“…From the perspective of attribute decomposition, there are a variety of software trustworthiness metric models. …”
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A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index by Jawaria Nasir, Hasnain Iftikhar, Muhammad Aamir, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman

“…It incorporates LMD (Local Mean Decomposition), SD (Signal Decomposition), and sophisticated machine learning methods. …”
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Singularity for the macroscopic production model with Chaplygin gas by Liu Xiaoli, Guo Lihui, Hu Yanbo

“…In this article, we investigate the formation of singularities in solutions of homogeneous and inhomogeneous systems for a macroscopic production model with Chaplygin gas using the method of characteristic decomposition. …”
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Exploring the determinants of fertility rates in Ethiopia: a decomposition analysis using count regression models with a focus on urban and rural residence, based on the 2019 Ethio... by Birhan Ambachew Taye, Bantie Getnet Yirsaw, Aychew Kassa Belete, Belyu Yehualashet Weldearegay

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Analytical and numerical computations for bioconvective flow Maxwell nanofluid with variable thermal properties using homotopy analysis method and finite difference scheme by Jawaher Alzahrani

“…The analytical computations are proceeded with help of homotopy analysis method (HAM) while numerical treatment is governed by finite difference method (FDM). …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…This study proposes a novel hybrid model for water quality prediction. [Methods] First, the original water quality sequence was decomposed using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). …”
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Data‐Driven Dynamic Modal Bias Analysis and Correction for Earth System Models by S. P. McGowan, N. L. Jones, W. S. P. Robertson, S. Balasuriya

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Simplified EMT Model of Multiple-Active-Bridge Based Power Electronic Transformer with Integrated Energy Storage by Jianzhong Xu, Conghui Zheng, Wanying Xu, Moke Feng, Chengyong Zhao, Gen Li

“…This paper proposes a simplified EMT modeling approach for the MAB-PETs by employing the generalized state-space averaging method. …”
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