Showing 261 - 280 results of 2,616 for search 'composition optimization model', query time: 0.16s Refine Results
  1. 261
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    Optimized Water Management Strategies: Evaluating Limited-Irrigation Effects on Spring Wheat Productivity and Grain Nutritional Composition in Arid Agroecosystems by Zhiwei Zhao, Qi Li, Fan Xia, Peng Zhang, Shuiyuan Hao, Shijun Sun, Chao Cui, Yongping Zhang

    Published 2025-05-01
    “…Strong correlations emerged between protein composition and processing quality, while regression modeling identified an optimal water consumption threshold (3250~3500 m<sup>3</sup> ha<sup>−1</sup>) that concurrently maximized grain yield, protein output, and WUE. …”
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    Article
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    A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling by Sivagnana Sundaram Anandakrishnan, Suhas Yadav, Mohadeseh Tabeshfar, Mikko Nelo, Jani Peräntie, Yang Bai

    Published 2025-06-01
    “…Using upside-down composites to recycle retired/discarded piezoceramics and then give them a second life in sensor applications paves the way towards sustainable production of piezoelectric materials. …”
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    Article
  5. 265

    Optimization of fabric’s tensile strength and bagging deformation using surface response and finite element in stenter machine by Tavangar Fatemeh, Abghari Ramin, Mirjalili Mohammad, Amiri Hamidreza

    Published 2024-12-01
    “…Then, the changed conditions were determined by the central composite design for optimization. For performing the finite element simulation, the initial design was first created using TexGen software and then, the strength and bagging deformation model was investigated by Abaqus software. …”
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    Article
  6. 266

    A predictive model for biomass waste pyrolysis yield: Exploring the correlation of proximate analysis and product composition by Sabah Mariyam, Mohammad Alherbawi, Gordon McKay, Tareq Al-Ansari

    Published 2025-01-01
    “…The paper presents empirical equations offering valuable predictive insights into optimizing product outcomes. Validation studies comparing experimental and predicted yields of ternary biomass feeds highlight the robustness of the proposed models. …”
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    Article
  7. 267

    Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches by Tianyang Li, Zheng Yang, Junyi Cui, Wenjie Chen, Rami Almatani, Yingjie Wu

    Published 2025-05-01
    “…Here, an ML framework was presented to predict and optimize the stretch-flangeability of AHSS based on composition-microstructure-property correlations, using datasets from 212 steel conditions. …”
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    End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters by Kylian Schmidt, Krishna Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, Pietro Vischia

    Published 2025-04-01
    “…In this work, we introduce the end-to-end. AI Detector Optimization framework (AIDO), which leverages a diffusion model as a surrogate for the full simulation and reconstruction chain, enabling gradient-based design exploration in both continuous and discrete parameter spaces. …”
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    Article
  11. 271

    Correction of the Carbohydrate Composition of Raw Materials for Microbial Transformation Based on Microbial Consortia by Kondratenko Vladimir V., Posokina Natalia E., Lyalina Ol’ga Yu., Kolokolova Anastasiay Yu., Glazkov Sergey V.

    Published 2020-12-01
    “…This process does not always result in optimal product quality as the raw material often lacks carbohydrates, the optimal conditions for the development of the target microflora are hard to achieve, the microflora might be inhibited by contaminants, etc. …”
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    Article
  12. 272

    Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

    Published 2025-06-01
    “…Finally, by combining multi‐objective genetic algorithm and RF models, the optimization alloy composition and extrusion parameters was carried out, targeting high‐strength, strength/plasticity synergy, and high plasticity for biodegradable purpose. …”
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    Article
  13. 273

    The impact of soil physical properties on combine harvester efficiency: a composite model from correlation trends by Mohd. Saifur Rahman, Nafis Shahid Fahim, Bodruzzaman Khan, Md. Fahad Jubayer, Tariqul Islam, Md Altaf Hossain

    Published 2025-06-01
    “…The developed composite model accounts for 82.2% of the variability in field efficiency, offering a predictive tool for improving mechanized farming practices. …”
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    Article
  14. 274

    Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System by ZHANG Yiqi, HUANG Shuoquan, LI Xiuming, DI Yanqiang, SONG Mengjie, HAN Zongwei

    Published 2025-01-01
    “…This study develops a composite fault diagnosis model based on typical machine learning algorithms, compares the diagnostic performance of different models, and finally conducts interpretability research on the diagnostic models using the SHAP method. …”
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    Article
  15. 275

    Development and Validation of a Theoretical Model for Flexural Behavior in Timber-Concrete and Bamboo-Concrete Composite Beams by Thaís P. L. Siqueira, M’hamed Y. R. da Glória, Enzo Martinelli, Romildo D. Toledo Filho

    Published 2025-06-01
    “…This study aims to develop and validate a finite element model to simulate the nonlinear flexural behavior of these composite beams. …”
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    Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells by Senhao Ren, Wenqiang Tang, Chao Ma, Li Hou, Xiaodong Chen, Jiashan Lin, Jie Yang, Yun Yang, Xiao Huo, Guoxin Li, Daowei Zhang

    Published 2025-09-01
    “…To overcome these challenges, we propose a multi-function composite data generation paradigm that integrates diverse functional characteristics, generating 11 classes of highly interpretable single-condition images as training data for a prior model. …”
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    A Multistage Stochastic Programming Model with Multiple Objectives for the Optimal Issuance of Corporate Bonds by Ruicheng Yang, Zinan Hu

    Published 2022-01-01
    “…Through empirical analysis of a company in China, we explore the efficient frontier curves for the three above objectives and provide the corresponding issuance compositions of an optimal bond portfolio. Our MSP model offers guidance for corporations on achieving a trade-off between cost and risk when issuing corporate bonds.…”
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