Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder by Shubham Chaudhry, Azzedine Abdedou, Azzeddine Soulaïmani

“…The POD-ANN model utilizes proper orthogonal decomposition to create a reduced-order model, which is then combined with an artificial neural network to establish a surrogate model linking the snapshot matrix to the input parameters. …”
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Order assignment mechanism based on hierarchical decomposition and element matching by ZHANG Xinyue, LYU Weimin, WEI Dingjiang, YANG Dongsheng

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Bayesian calibration of the ICBM/3 soil organic carbon model constrained by data from long-term experiments and uncertainties of C inputs by Lorenzo Menichetti, Thomas Kätterer, Martin A. Bolinder

“…Models with various complexity can asses soil C sequestration in agriculture. …”
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Local RBF-FD-Based Mesh-free Scheme for Singularly Perturbed Convection-Diffusion-Reaction Models with Variable Coefficients by Ram Jiwari, Sukhveer Singh, Paramjeet Singh

“…This work analyze singularly perturbed convection-diffusion-reaction (CDR) models with two parameters and variable coefficients by developing a mesh-free scheme based on local radial basis function-finite difference (LRBF-FD) approximation. …”
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Travel Matrix Decomposition for Understanding Spatial Long-Distance Travel Structure by Hiromichi Yamaguchi, Mashu Shibata, Shoichiro Nakayama

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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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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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Multi-Scale Multi-Domain Hybrid Finite Element Modeling of Light Propagation by Jingwei Wang, Zhanwen Wang, Lida Liu, Yuntian Chen

“…We revisit finite element method of modeling multi-scale photonic/electromagnetic devices via the proposed beam basis function, in combination with domain decompositions. …”
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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

“…The GBD method is an extension of the Benders Decomposition (BD) method, effectively handles the characteristics of the MINLP  model, where the model has nonlinear properties and involves two types of variables, namely continuous variables and integer variables. …”
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THE DEGENERATE STATE RECOGNITION METHOD OF ROLLING BEARING BASED ON LCD AND GMM-VPMCD HYBRID MODEL by LIU Jibiao, CHENG Junsheng, LIU Yanfei

“…Since variable predictive model based class discriminate（ VPMCD） is a pattern recognition method in which the relationship between the feature values is adopted,it can be applied to the he degenerate state recognition of roller bearing. …”
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Evolution of CFD numerical methods and physical models towards a full discrete approach by Caltagirone, Jean-Paul

“…The physical models and numerical methodologies of Computational Fluid Dynamics (CFD) are historically linked to the concept of continuous medium and to analysis where continuity, derivation and integration are defined as limits at a point. …”
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Assessing the potential of polarimetric decomposition of Sentinel-1 SAR for the estimation of mangrove forest biomass by G. Ghivarry, E. Kutchartt, E. Kutchartt, F. Pirotti, F. Pirotti

“…Meanwhile, GEDI data were used to train the prediction model instead of observational data. The predictive ability of the model using only SAR-derived explanatory variables resulted in an RMSE of about 45 Mg/ha and an R-squared of about 0.2.…”
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Block-Based Multicut Benders Decomposition Algorithm for Transmission and Energy Storage Co-Planning by Edimar José de Oliveira, Arthur Neves de Paula, Leonardo Willer de Oliveira, Leonardo de Mello Honório

“…This division makes it possible to use parallel computation methods to solve each block simultaneously, reducing the simulation time, which allows the use of a more extensive time window to model the variability of random variables of the system, such as wind and load. …”
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Accurate Solar Radiation Forecasting Through Feature-Enhanced Decision Trees and Wavelet Decomposition by Gaizen Soufiane, Abbou Ahmed, Fadi Ouafia

“…The main research question investigates how well decision tree models, enhanced by wavelet transform, can forecast daily solar radiation. …”
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The impact of digital industries on carbon emission in China: Input-output and structural decomposition analysis by Yuke Li, Jing Wu, Xiaodong Pei, Qianting Zhu

“…This study uses the Input-Output method and Structural Decomposition Analysis models to measure the structural effects of DI on carbon emissions in China from 2007 to 2017, through a dual perspective of “region-industry”. …”
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Comprehensive Analysis of the Driving Forces Behind NDVI Variability in China Under Climate Change Conditions and Future Scenario Projections by Ao Li, Shuai Yin, Nan Li, Chong Shi

“…Firstly, this study decomposed the time series data into seasonal, trend, and residual components using the Seasonal–Trend decomposition using Loess (STL) decomposition method, quantifying vegetation changes across different climate zones. …”
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An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting by Yingying He, Likai Zhang, Tengda Guan, Zheyu Zhang

“…However, the inherent variability and intermittency of wind speed present significant challenges for achieving precise forecasts. …”
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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

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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

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Monitoring the Time-Lagged Response of Land Subsidence to Groundwater Fluctuations via InSAR and Distributed Fiber-Optic Strain Sensing by Qing He, Hehe Liu, Lu Wei, Jing Ding, Heling Sun, Zhen Zhang

“…Subsequently, the seasonal-trend decomposition using the LOESS (STL) model was applied to extract annual cyclic deformation components from the InSAR-derived time series. …”
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