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  1. 681
  2. 682

    Wind Power Prediction Based on a Hybrid Model of ICEEMDAN and ModernTCN-Informer by Jun He, Zijian Cheng, Zijie Zhong, Lizhuo Liang, Jianhui Ye

    Published 2025-01-01
    “…This paper proposes a hybrid forecasting model based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) combined with ModernTCN-Informer. …”
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  3. 683
  4. 684

    Quantitative control of interfacial structure and thermal conductivity between diamond and copper via thermal diffusion of alloying element by Yizhe Cao, Bo Li, Lei Liu, Shaolong Li, Dongxu Hui, Shaodi Wang, Huiying Liu, Xin Li, Xin Zhang, Shengyin Zhou, Shufeng Li

    Published 2024-11-01
    “…Furthermore, thermal diffusion of diamond/metal reaction is discussed based on theoretical models. We theoretically demonstrate that long thermal diffusion could enhance the thermal diffusivity for the composites and achieve ∼90.8% of theoretical thermal conductivity predicted by the Maxwell-Eucken model.…”
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  5. 685

    Robust Controller Designing for an Air-Breathing Hypersonic Vehicle with an HOSVD-Based LPV Model by Xing He, Wei Jiang, Caisheng Jiang

    Published 2021-01-01
    “…Secondly, using the tensor product model transformation method, the obtained LPV model is converted into the polytopic LPV model via high-order singular value decomposition (HOSVD). …”
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  6. 686

    Sensitivity Analysis of the Thermal Structure Within Subduction Zones Using Reduced‐Order Modeling by Gabrielle M. Hobson, Dave A. May

    Published 2025-05-01
    “…We simulate temperature for profiles of the Cascadia, Nankai and Hikurangi subduction zones using a 2D coupled kinematic‐dynamic thermal model. We then build reduced‐order models (ROMs) for temperature using the interpolated Proper Orthogonal Decomposition (iPOD). …”
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  7. 687

    Construction of a health literacy prediction model for diabetic patients: A multicenter study by Zepeng Wang, Junyi Shi, Fangyuan Jiang, Kui Jiang, Yalan Chen

    Published 2025-01-01
    “…Calibration curves, decomposition plots, and partial dependence plots were drawn to evaluate and interpret the models. …”
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  8. 688

    Presenting the model of managerial competencies of women in the industry (case study: Sabah Food Company) by masoomeh samadi, mohammad mohammadi, Hamid Rezaei Far, hossein hakimpour

    Published 2024-09-01
    “…Abstract The purpose of this research is to provide a model of managerial competencies of women in the industry (case study: Sabah Food Company). …”
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  9. 689
  10. 690

    Modeling the Higher Heating Value of Spanish Biomass via Neural Networks and Analytical Equations by Anbarasan Jayapal, Fernando Ordonez Morales, Muhammad Ishtiaq, Se Yun Kim, Nagireddy Gari Subba Reddy

    Published 2025-07-01
    “…The optimized ANN achieved strong predictive accuracy (validation R<sup>2</sup> ≈ 0.81; mean squared error ≈ 1.33 MJ/kg; MAE ≈ 0.77 MJ/kg), representing a substantial improvement over 54 analytical models despite the known complexity and variability of biomass composition. …”
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  11. 691

    Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

    Published 2025
    “…Future work will focus on extending the dataset to include a wider variety of clay compositions and investigating hybrid modeling approaches to further improve predictive performance.…”
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  12. 692

    Cooperative Hybrid Modelling and Dimensionality Reduction for a Failure Monitoring Application in Industrial Systems by Morgane Suhas, Emmanuelle Abisset-Chavanne, Pierre-André Rey

    Published 2025-03-01
    “…Additionally, Singular Value Decomposition (SVD) is employed for the purposes of feature extraction and dimensionality reduction, thereby enhancing the model’s capacity to generalise with limited training data. …”
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  13. 693
  14. 694

    Modeling soil respiration in summer maize cropland based on hyperspectral imagery and machine learning by Fanchao Zeng, Fanchao Zeng, Jinwei Sun, Huihui Zhang, Lizhen Yang, Xiaoxue Zhao, Jing Zhao, Xiaodong Bo, Yuxin Cao, Fuqi Yao, Fenghui Yuan, Fenghui Yuan

    Published 2025-01-01
    “…The XGBoost model can also effectively capture the impact of drought treatments on SR.DiscussionThe XGBoost model’s tree-based structure allows it to effectively capture complex interactions and nonlinear patterns within variables, while its high sensitivity to changes in SR rates under drought conditions makes it more reliable for modeling SR across different growth stages compared to the linear-based MLR model. …”
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  15. 695

    THE COMPATIBILITY OF MODEL FOR LOW SHEAR FLOW ANALYSIS IN DEVELOPING PLASTICIZED HTPB-BASED BINDER by Afni Restasari, Luthfia Hajar Abdillah, Retno Ardianingsih, Bagus Wicaksono, Rika Suwana Budi

    Published 2020-12-01
    “…In developing flow behavior of plasticized prepolymer as liquid content of composite solid propellant, zero shear viscosity (ZSV) is a critical parameter that Goh-Wan equation is developed to model it recently [1]. …”
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  16. 696

    Predictive Modeling of Functional and Physical Properties of Extrusion Cooked Ready-To-Eat Corn Meal by Adeyemi Adio Aderele, Adewumi Babatunde, Adeniyi Olayanju, Adekojo Waheed

    Published 2025-04-01
    “…Adequate precision/R-Square values for WAI, WSI, BD, and ER respectively were 25.92/0.97, 11.69/0.99, 10.00/0.94, and 22.51/0.99, which measured each model’s degree of fitness. These values proved that each model have good predictability and was fitted for prediction purposes.…”
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  17. 697

    Modeling the Production Process of Lignin Nanoparticles Through Anti-Solvent Precipitation for Properties Prediction by Victor Girard, Laurent Marchal-Heussler, Hubert Chapuis, Nicolas Brosse, Nadia Canilho, Isabelle Ziegler-Devin

    Published 2024-11-01
    “…Using first a parametric and then a Fractional Factorial Design, predictions of LNP sizes and size distribution, as well as zeta-potential, were derived from a model over beech by-products organosolv lignin, depending on initial lignin concentration (x<sub>1</sub>, g/L), solvent flow rate (x<sub>2</sub>, mL/min), antisolvent composition (x<sub>3</sub>, H2O/EtOH <i>v</i>/<i>v</i>), antisolvent ratio (x<sub>4</sub>, solvent/antisolvent <i>v</i>/<i>v</i>), and antisolvent stirring speed (x<sub>5</sub>, rpm). …”
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  18. 698

    A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery by Songrong Luo, Junsheng Cheng, Kexiang Wei

    Published 2016-01-01
    “…However, traditional class discrimination methods such as SVM and ANN fail to capitalize the interactions among the feature variables. Variable predictive model-based class discrimination (VPMCD) can adequately use the interactions. …”
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  19. 699

    Genome-scale metabolic modelling of human gut microbes to inform rational community design by Juan Pablo Molina Ortiz, Dale David McClure, Andrew Holmes, Scott Alan Rice, Mark Norman Read, Erin Rose Shanahan

    Published 2025-12-01
    “…While DRC supplementation offers a means to modulate the microbiome therapeutically, its effectiveness is often limited by the microbial community’s complexity and individual variability in microbiome functionality. We utilized genome-scale metabolic models (GEMs) from the AGORA collection to provide a system-level overview of the metabolic capabilities of human gut microbes in terms of carbohydrate trophic networks and propose improved therapeutic interventions, based on microbial community design. …”
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