Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model by Chenxiang Wang, Pengfei Zhang, Wenbin Shen, Jiayao Wang

“…In this paper, we propose a model that combines Ensemble Empirical Mode Decomposition (EEMD) with Long Short-Term Memory (LSTM), denoted as EEMD_LSTM. …”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…[Conclusions] Through the improved ICEEMDAN decomposition and TCN-DLinear combined model， this study effectively solves the shortcomings of traditional methods in multistep prediction and significantly improves the accuracy and reliability of photovoltaic power prediction. …”
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Global index of the acoustic quality of sacral buildings at incomplete information by Krzysztof KOSAŁA

“…The decomposition versus singular values was done on the previously built empirical model of the index observation matrix of sacral objects. …”
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Gearbox Fault Diagnosis Based on the LMD Cloud Model and PSO-KELM by Zhao Xiaohui, Tan Qi, Hu Sheng, Yang Wenbin, Huan Kaixuan, Zhang Zhijie

“…To address this problem, a gearbox fault diagnosis method based on local mean decomposition (LMD) cloud model feature extraction combined with particle swarm optimization (PSO) kernel extreme learning machine (KELM) is proposed. …”
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Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications by Charalampos Tsirmpas, Stasinos Konstantopoulos, Dimitris Andrikopoulos, Konstantina Kyriakouli, Panagiotis Fatouros

“…The model leverages pooling and trend-removal mechanisms to enforce physiologically meaningful decompositions. …”
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Evaluation of Modified Reflection Symmetry Decomposition Polarization Features for Sea Ice Classification by Tianlang Lan, Chengfei Jiang, Xiaofan Luo, Wentao An

“…However, traditional methods, such as Freeman–Durden (FD) and H/A/α decomposition, struggle to accurately characterize complex scattering mechanisms, limiting their ability to differentiate between various sea ice types. …”
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A Generalized Benders Decomposition for Mixed-Integer Nonlinear Programming: Theory and Applications by Fadiah Hasna Nadiatul Haq, Diah Chaerani, Anita Triska

“…This paper comprehensively explains how to solve mixed-integer nonlinear programming (MINLP) models using the generalized benders decomposition (GBD) method. …”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…Traditional low-rank decomposition methods aim to recover low-rank components and isolate sparse elements, but the structural integrity of the sparse components is often compromised. …”
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Reduced order modeling of blood perfusion in parametric multipatch liver lobules by Ahsan Ali Siddiqui, Etienne Jessen, Stein K. F. Stoter, David Néron, Dominik Schillinger

“…We then construct a reduced order model via proper orthogonal decomposition (POD). …”
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A Novel Methodology for the Automatic Decomposition of HAWT Wakes With K‐Means Clustering by Lorenzo Tieghi, Davide Cerbarano, Filippo De Girolamo, Valerio Francesco Barnabei, Giovanni Delibra

“…The relevance of these quantities in the clustering results is discussed and then the robustness of the method is assessed against temporal propagation of the model to 108 time steps, corresponding to three rotor revolutions. …”
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A decomposition resolution approach for a production-inventory-distribution-routing problem by William de Paula Ferreira, Leonardo Carlos da Cruz, Michael David de Souza Dutra

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Color Consistency Anime Style Transfer Based on Hybrid Structural Decomposition Network by Jun Zhang, Yunhua Zhang

“…Experimental results demonstrate that our proposed model not only visually generates anime characters with realistic styles but also achieves superior performance in terms of Style FID and Semantic FID compared with state-of-the-art methods.…”
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Multi-Level Decomposition and Interpretability-Enhanced Air Conditioning Load Forecasting Study by Xinting Yang, Ling Zhang, Hong Zhao, Wenhua Zhang, Chuan Long, Gang Wu, Junhao Zhao, Xiaodong Shen

“…Results show that the proposed method significantly outperforms the LSTM model without decomposition and other benchmark models in prediction accuracy, with the Root Mean Square Error (RMSE) reductions ranging from 40.26% to 74.18% and the Modified Mean Absolute Percentage Error (MMAPE) reductions from 37.75% to 73.41%. …”
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Complete Mode Spectrum Decomposition of Complex‐Structured Light by Computer‐Generated Holography by Yunfei Ma, Zilong Zhang, Yuqi Wang, Hongzhi Yang, Wei He, Lingyu Kong, Suyi Zhao, Xiaotian Li, Yetong Hu, Changming Zhao

“…Analyzing or probing a complex‐structured light field with a simple model to obtain its mode composition sequence and phase delays among eigenmodes is challenging. …”
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Inequity in access to medications among communities in Eastern Ethiopia: a decomposition analysis by Dumessa Edessa, Fekede Asefa Kumsa, Girmaye Dinsa, Lemessa Oljira

“…Finally, we used RIF’s regression decomposition method to identify the significant contributors to the inequity. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…We provide a comprehensive overview of the fundamental theory, methodological characteristics, and current challenges of EMD, covering five EMD-based methods: Hilbert-Huang Transform (HHT), Ensemble Empirical Mode Decomposition (EEMD), Multivariate Empirical Mode Decomposition (MEMD), Extreme Point Symmetric Mode Decomposition (ESMD), and Variational Mode Decomposition (VMD). …”
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Coupled estimation of internal tides and turbulent motions via statistical modal decomposition by I. Maingonnat, G. Tissot, N. Lahaye

“…The method is presented and tested in an idealised framework based on the rotating-shallow-water model, where we provide a physical interpretation for the decomposition method based on theoretical considerations. …”
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Epileptic Seizure Detection in Neonatal EEG Using a Multi-Band Graph Neural Network Model by Lihan Tang, Menglian Zhao

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Offline reinforcement learning combining generalized advantage estimation and modality decomposition interaction by Kaixin Jin, Lifang Wang, Xiwen Wang, Wei Guo, Qiang Han, Xiaoqing Yu

“…Abstract Transformers show great potential in offline reinforcement learning via trajectory sequence modeling for action prediction. However, existing Transformer-based methods face limitations, such as ineffective trajectory stitching and the neglect of deep interactions within and between multimodal information in trajectories. …”
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Decomposition Residual Odor Volatiles in Soil from a West Texas Environment by Jennifer Raymer, Jorge Ulises Rojas-Guevara, Paola Alexandra Prada-Tiedemann

“…After removal, the headspace of soil samples, taken from under the cadaver decomposition island (CDI), were analyzed once per week for a period of 4 weeks using solid phase micro extraction- gas chromatography/mass spectrometry (SPME-GC/MS) as the instrumental analysis method. …”
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