Showing 1,741 - 1,760 results of 2,616 for search 'composition optimization model', query time: 0.20s Refine Results
  1. 1741

    Adsorption of heavy metals onto food wastes: a review by Wilfrida Nyairo, Joel B. Njewa, Victor O. Shikuku

    Published 2025-04-01
    “…Further, the kinetic studies indicated that the adsorption processes largely followed a pseudo second-order model, showing chemisorption-mediated rate-limiting steps. …”
    Get full text
    Article
  2. 1742

    Analysis of Investment Economy of Electric Boilers with Thermal Storage in Source-Load Application Scenarios by Yanping XU, Haobo SHI, Xiaohui QIN, Mingxin ZHAO, Jie BAI, Baodi Ding

    Published 2023-02-01
    “…Then, time-series production simulation was performed to construct an optimization model for the economic benefits of the investment entities for electric boilers with thermal storage with the objective of maximizing the annual economic benefits. …”
    Get full text
    Article
  3. 1743

    Identification of kidney renal clear cell carcinoma prognosis based on gene expression and clinical information by Xiong Zou, Xi Chen, Jianjun Yang, Yanfeng Li

    Published 2025-08-01
    “…Therefore, the development of reliable prognostic tools may improve clinical evaluation of KIRC outcomes and facilitate personalized therapy optimization.MethodsThe KIRC data of GSE40435 and GSE46699 in the GEO database were immunologically grouped based on 29 immune gene sets through R language. …”
    Get full text
    Article
  4. 1744

    A new method of shale oil facies element logging evaluation and its application in Dongying Sag by GUAN Qianqian,JIANG Long,CHENG Ziyan,ZHANG Diandong,WANG Yunhe,ZHANG Fan

    Published 2024-06-01
    “…The approach combines stratification, clustering through Agglomerative Hierarchical Clustering(AHC), Fisher discriminant analysis, wavelet frequency extraction, and genetic optimization neural networks to discern the rock composition, sedimentary structure, rock texture, and organic matter content of different lithofacies. …”
    Get full text
    Article
  5. 1745

    CONCEPT OF FINANCIAL FLOW MANAGEMENT OF ENTERPRISE CORPORATE SECURITY SYSTEM by Olena Sergienko, Nataliia Volosnikova, Natalia Reshetniak, Maryna Mashchenko, Valeria Baranova

    Published 2022-07-01
    “…It is confirmed that modeling of financial resources of integrated logistics processes makes it possible not only to form the optimal vector of strategic goals of the multi-purpose model of integrated logistics processes but also to identify the interconnection between the composition and volume of incoming and outgoing financial flows of all enterprise integrated processes. …”
    Get full text
    Article
  6. 1746

    Assessing Anopheles species collection techniques in a low malaria transmission area: implications for vector surveillance and control by Thabo Mashatola, Power Tshikae, John Govere, Theresa T. Mazarire, Basil Brooke, Givemore Munhenga

    Published 2025-07-01
    “…A Generalized Linear Mixed Model was applied to assess the impact of various factors on species abundance. …”
    Get full text
    Article
  7. 1747

    The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

    Published 2021-07-01
    “…The use of machine learning models in pharmaceutical development will contribute to resource conservation and optimization of the composition of the formulation.…”
    Get full text
    Article
  8. 1748

    Performance evaluation of a diesel engine fuelled with waste plastic pyrolysis oil, 1-butanol, and CeO2 additives under varying injection pressures by K. Sunil Kumar, Sumathy Muniamuthu, T.M. Yunus Khan, Abdul Razak

    Published 2025-08-01
    “…A detailed statistical investigation is carried out using Response Surface Methodology, followed by optimization using powerful desirability optimization techniques. …”
    Get full text
    Article
  9. 1749

    Harnessing machine learning for high-entropy alloy catalysis: a focus on adsorption energy prediction by Qi Wang, Yonggang Yao

    Published 2025-04-01
    “…Beyond methodology, we address key challenges and future directions, including benchmarking ML strategies, developing HEA-specific datasets, pretraining and fine-tuning, integrating chained ML models, advancing multi-objective optimization, and bridging ML predictions with experimental validation. …”
    Get full text
    Article
  10. 1750

    A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification by Yan Zhang, Kai Yue, Chang Yuan, Jiahao Xiang

    Published 2025-02-01
    “…By combining these models with thermodynamic equilibrium models, the modified R<sup>2</sup> of offline predicted syngas flow rate exceeds 0.92, and those of syngas compositions reach 0.72–0.85. …”
    Get full text
    Article
  11. 1751

    CREATION OF LOOPHILISATE OF GK-2 FOR PREPARATION OF SOLUTION FOR INJECTIONS WITH USE OF POLYOLS by E. V. Blynskaya, S. V. Tishkov, K. V. Alekseyev, S. V. Minaev

    Published 2019-01-01
    “…As part of the development of the composition and technology of the lyophilized dosage form with the pharmaceutical substance (FS) GK-2, which possesses neuroprotective activity, model compositions and technological properties are studied with different temperature regimes of production. …”
    Get full text
    Article
  12. 1752

    On the role of the preheat temperature in electron-beam powder bed fusion processed IN718 by Nana Kwabena Adomako, Michael Haines, Nima Haghdadi, Sophie Primig

    Published 2024-12-01
    “…Process parameters optimization in additive manufacturing (AM) is usually required to unlock superior properties, and this is often facilitated by modeling. …”
    Get full text
    Article
  13. 1753

    About managing the number of simultaneously functioning software robots of different types by A. S. Zuev, D. A. Leonov

    Published 2024-08-01
    “…A proposed solution is based on models and methods of scenario management, linear programming, inventory management, queuing theory, and machine learning. …”
    Get full text
    Article
  14. 1754

    Machine learning-driven design of rare metal doped niobium alloys with enhanced strength and ductility by Zhenqiang Xiong, Zhaokun Song, Jianwei Li, Heran Wang, Xiaoxin Zhang, Bin Liang, Dong Wang

    Published 2025-05-01
    “…A comprehensive database of niobium alloys' properties was analyzed using feature engineering, and a high-accuracy prediction model, Gray Wolf Optimization-Extreme Learning Machine (GWO-ELM), was constructed, achieving R2 values of 0.95 and 0.88 for tensile strength and elongation, respectively. …”
    Get full text
    Article
  15. 1755

    基于Kriging响应面法的盾构机行星架多目标优化 by 王红霞, 王盛, 刘强

    Published 2014-01-01
    “…In order to meet the requirements of lightweight design,the smallest of volume and minimum of rotary inertia multi-objective optimization model is established by considering its dynamic and static characteristics requirements.The design variables are taken correlation analysis under circumstance without non-sensitive factors to improve design efficiency.Using enhanced central composite design to get the proper design point,and the design point is simulated and analyzed by using the finite element method,then,a high-precise Kriging response surface model is established according to the simulation results.Sample points distributed evenly are taken out by using Shifted Hammersley sampling technology.After balancing pros and cons of the points,two Pareto optimal solutions are obtained under certain constraints.The volume and rotary inertia are decreased by 10% or more after optimization and the design target of planet carrier in volume and rotary inertia is achieved.…”
    Get full text
    Article
  16. 1756

    A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

    Published 2025-03-01
    “…First, rock matrix density is calculated using density and nuclear magnetic resonance (NMR) logging data, serving as the basis for depth normalization of core data; secondly, based on the oxide closure model, the offset and scaling factor are added to the calculation of the elemental dry weights, so as to obtain the optimal solution of the logged elemental dry weights; lastly, the elemental dry weights are combined with the differential evolution method, and the density profile and the sum of the mineral dry weights is used as the constraints, so as to carry out the inversion of the mineral dry weight is inverted.The results of mineral inversion have been well applied in different types of shale oil such as Daqing Gulong, Sichuan Liang Gaoshan, Xinjiang Mabei, etc. …”
    Get full text
    Article
  17. 1757

    Coupling effect of landscape patterns on the spatial and temporal distribution of ecosystem services: a case study in Harbin City, Northeast China by Yuxin Qi, Peixin Shen, Shu Ren, Tianyi Chen, Yuandong Hu

    Published 2025-02-01
    “…It used the geographical detector (GD) to reveal the effects of landscape pattern changes on ecosystem services and the geographically weighted regression (GWR) model to map ecosystem services’ responses to changes in landscape pattern heterogeneity. …”
    Get full text
    Article
  18. 1758

    Splitting the difference: Genetically-tunable mycelial films using natural genetic variations in schizophyllum commune by Viraj Whabi, Jianping Xu

    Published 2025-08-01
    “…In this study, this species was used as a model to explore the potential of leveraging natural genetic variation within species to develop fungal mycelial materials with diverse properties. …”
    Get full text
    Article
  19. 1759

    A study on the simulation of metal powder molding based on the discrete element method with equal particle size by Wenchao Wang, Mengyao Weng, Kangxing Dong, Hui Qi, Yuanbo Zhao, Hao Chang, Wenzhe Wang, Pingan Liu

    Published 2025-06-01
    “…By sharing multi-scale simulations with parametric analysis and combining theoretical modeling with practical industrial applications, the densification mechanism of composite metal powders is dissected, which provides a sizable example for process optimization.…”
    Get full text
    Article
  20. 1760

    ABOUT ALGORITHMIZATION OF CALCULATIONS OF THE ARC STEEL MAKING FURNACE SLAG CONTENT by A. A. Chichko, V. F. Sobolev, N. V. Andrianov, V. V. Pivtsaev, S. V. Terletskij

    Published 2006-08-01
    “…The description of the slag model allowing to optimize the process of steel melting in arc steel-furnace is presented. …”
    Get full text
    Article