Showing 101 - 120 results of 1,106 for search 'influential processing', query time: 0.09s Refine Results
  1. 101

    Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control by Elbaraka Saad, Mokhlis Salah-eddine, Barra Adil, Fouraiji Hicham

    Published 2025-01-01
    “…In the industry and logistic the production process is the sequence that aims to convert raw materials into finished or semi-finished products. …”
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    Article
  2. 102

    Impact of process parameters and material selection on the mechanical performance of FDM 3D-Printed components by Md Mahbub Morshed Haque, Suchinto Roy Dhrubo, Al-Fida Zubayer Pranto, Akash Ahmed, Md Miraj Arefin, Md Arifuzzaman, Md Shariful Islam

    Published 2025-09-01
    “…ANOVA analysis was employed to determine the statistical significance of process parameters on mechanical performance. Tensile, compressive, and flexural tests revealed that PAHT-CF exhibited superior strength in all categories, while nozzle diameter emerged as the most influential parameter. …”
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  3. 103

    Investigation of cadmium removal using tin oxide nanoflowers through process optimization, isotherms and kinetics by Selim Gürsoy, Miray Bombom, Buse Tuğba Zaman, Fatma Turak, Sezgin Bakırdere, Elif Öztürk Er

    Published 2025-04-01
    “…The batch adsorption process was optimized by response surface methods to investigate the influential parameters of the adsorption process. …”
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  4. 104

    Application of the Analytic Network Process for Sub-Watershed Prioritization in the Huehuetan River Basin, Chiapas, Mexico by Adolfo López-Pérez, Gerardo Colín-García, Héctor Moya, Martín Alejandro Bolaños-González, Demetrio Salvador Fernández-Reynoso, Angel Saul Cruz-Ramírez

    Published 2024-11-01
    “…The results identified hydrology and land-use change as the most influential criteria, with weights of 20.62% and 19.82%, respectively, driven mainly by surface runoff and deforestation. …”
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    Article
  5. 105

    Waste to Biofuel: Process Design and Optimisation for Sustainable Aviation Fuel Production from Corn Stover by Nur Aina Najihah Halimi, Ademola Odunsi, Alex Sebastiani, Dina Kamel

    Published 2025-06-01
    “…Sensitivity analysis confirmed that hydrogen, catalyst, and feedstock pricing are the most influential variables, suggesting targeted reductions could push the MFSP below 2 USD/L. …”
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  6. 106
  7. 107

    Evaluation of the Performance of E-Commerce Using the Analytic Hierarchy Process (AHP): Business Perspectives on E-Commerce by Sid Sirisukha

    Published 2017-12-01
    “…As business innovation has relied increasingly on partnerships between business and supplier, there is a different perspective of how business executives view their business process and competitive advantage. Based on the findings from this study, one important way for business people to be heard is to devote their time to create competitive advantage and develop shared domain knowledge which appear as the most influential construct in the AHP model. …”
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  8. 108

    Utilizing an Innovative Gaussian Process Regression Machine Learning Algorithm for Estimating Unconfined Compressive Strength Predictions by Hazel Abraham

    Published 2025-06-01
    “…This article offers an advanced argument in using a Machine Learning algorithm known as Gaussian Process Regression to predict the UCS for mixtures of soils. …”
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  9. 109

    An ISM-based approach to overcoming barriers to adopting next-generation processing and computing technologies in the ceramics and glass manufacturing industries by T. Ibn-Mohammed, N. Bhanot, A.H. Mohammed, C.E.J. Dancer, K. Kirwan

    Published 2025-06-01
    “…Next-generation processing and computing technologies (NGPTs), being new platforms that provide high energy efficiency and process intensification, are touted as key decarbonisation enablers in the ceramic and glass manufacturing sectors, but there are adoption barriers to overcome. …”
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    Article
  10. 110

    Techno-economic analysis and process simulation of alkoxylated surfactant production in a circular carbon economy framework by Oliver J. Fisher, Jhuma Sadhukhan, Thorin Daniel, Jin Xuan

    Published 2024-12-01
    “…CO2 conversion rates range around 3% across processing capacities of 25 kt/a, 100 kt/a, and 1000 kt/a. …”
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  11. 111

    How did an election fraud narrative spread online? Testing theories us-ing machine learning and natural language processing by Loni Hagen, Diego Ford, Jahnae Edwards, Ly Dinh, Nic DePaula, Joshua Scacco

    Published 2024-05-01
    “…In this study, we investigated 1) how election fraud narratives propagated on social media, and 2) the role of influential actors in the process of building and spreading the election fraud narratives. …”
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  12. 112

    Prediction of Al2O3 leaching recovery in the Bayer process using statistical multilinear regresion analysis by Đurić I., Đorđević P., Mihajlović I., Nikolić Đ., Živković Ž.

    Published 2010-01-01
    “…This paper presents the results of defining the mathematical model which describes the dependence of leaching degree of Al2O3 in bauxite from the most influential input parameters in industrial conditions of conducting the leaching process in the Bayer technology of alumina production. …”
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  13. 113
  14. 114

    Adoptability of Test Process Models: ISO/IEC 29119, TMMI y TPI from the small organization perspective by Cecilia García, Karin Meléndez, Abraham Dávila

    Published 2018-05-01
    “…Testing is considered to be an important stage in the software development process. Therefore, there are different proposals regarding how to perform testing activities at a project level and at organizational level. …”
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  15. 115

    Optimization of Mechanical Properties and Manufacturing Time through Experimental and Statistical Analysis of Process Parameters in Selective Laser Sintering by Adrian Korycki, Christian Garnier, Valerie Nassiet, Charles Tarek Sultan, France Chabert

    Published 2022-01-01
    “…A statistical analysis of the response of the parameters has been led by a design of experiments to extract the most influential parameters in the selective laser sintering process. …”
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  16. 116

    The Physics and Metaphysics of Social Powers: Bridging Cognitive Processing and Social Dynamics, a New Perspective on Power Through Active Inference by Mahault Albarracin, Sonia de Jager, David Hyland

    Published 2025-05-01
    “…We argue that power through scripts stems not only from associations with influential agents but also from the ability to efficiently process information, creating a feedback loop of increasing influence. …”
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  17. 117

    Can Eye Movements Be a Predictor of Implicit Attitudes? Discrimination Against Disadvantaged Individuals During the Recruitment Process by Samet Çelik, Malik Volkan Türker

    Published 2022-10-01
    “…Furthermore, we also found that the disadvantageous social identities of these candidates were more influential in the recruitment process.As a result, we can say that our implicit attitudes affect our behaviors and preferences, and eye movements can be a useful tool in predicting intentions and implicit attitudes.…”
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  18. 118

    The role of innovation leadership in enhancing supply chain efficiency: a mediated model of process improvement and information technology by Muhammad Muzummil Sibtain, Saira Younis

    Published 2025-07-01
    “…The findings disclosed that innovative leadership is very influential when it comes to information technology and process improvement in supply chains. …”
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  19. 119

    Modeling the impact of climate change on corvus species distribution in Somaliland: Bayesian spatial point process approach for conservation by Abdisalam Hassan Muse, Maysaa Elmahi Abd Elwahab

    Published 2025-08-01
    “…Conversely, the model revealed highly influential and statistically significant spatially structured (autocorrelation) and unstructured random effects. …”
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  20. 120

    Process Importance Identification for the SPAC System Under Different Water Conditions: A Case Study of Winter Wheat by Lijun Wang, Liangsheng Shi, Jinmin Li

    Published 2025-03-01
    “…However, most sensitivity analyses for SPAC models focus on parameter-level assessment, providing limited insights into process-level importance. To address this gap, this study proposes a process sensitivity analysis method that integrates the Bayesian network with variance-based sensitivity measures. …”
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