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  1. 1701
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  3. 1703

    Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance by Xin Zhao, Zeyuan Gao, Meng Li, Zhibin Han, Jianjian Zhu

    Published 2025-01-01
    “…The increasing application of composite materials in various industrial sectors is driven by their lightweight nature, high strength-to-stiffness ratio, and corrosion resistance. …”
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  4. 1704

    Application of satellite images and object-oriented processing in land use/land cover map extraction to model ecosystem services (case study: Lorestan province) by Zahra Asadolahi, Mostafa Keshtkar, Zia Badehian

    Published 2020-09-01
    “…While the pixel-based method is based on the classification of numerical values of images, object-oriented image processing is more accurate in the classification process, due to the use of spectral information, texture, and content information, being widely used in all sectors including environmental sciences. …”
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  5. 1705
  6. 1706

    The Application of the Internet of Things in the Information Arena of the Islamic Republic of Iran Army by Ali Farahmandnezhad, Sepehr MohammadZahraee, soheil Mohammad zahraei

    Published 2024-12-01
    “…Conclusion: The final results indicate that the Internet of Things in the information sector of the Islamic Republic of Iran Army is applied in the following components, in order of importance: information collection, processing, storage, and dissemination, along with the indicators outlined in the research.…”
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  7. 1707

    Experimental analysis on fiber diameter of spunbond nonwoven fabrics through Plackett–Burman and Box–Behnken designs and its impact on mechanical properties by Kaoutar Abdel‐Mouttalib, Ayoub Nadi, Samir Tetouani, Abdelowahed Hajjaji, Omar Cherkaoui, Samira Touhtouh

    Published 2025-01-01
    “…Highlights Market research of textile industry, particularly of nonwoven sector. Identification of the parameters of the Spunbond process. …”
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  8. 1708
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  10. 1710

    Repetitive Sampling Control Chart for Gamma Distribution in Uncertain Environments by Zainalabideen Al-Husseini, Khudhayr A. Rashedi, Muhammad Aslam

    Published 2025-03-01
    “…To demonstrate its practical utility, an example from the healthcare sector is provided. Both simulation results and this practical example confirm that the new control chart is effective in swiftly identifying deviations in processes, making it a valuable tool for managing uncertainty.…”
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  11. 1711

    Users contributions to an architectural project at the start up by Iara Sousa Castro, Francisco de Paula Antunes Lima, Francisco José de Castro Moura Duarte

    Published 2015-06-01
    “…This paper presents the results of a case study carried out in a sector of a hospital dedicated to patients with HIV. …”
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  12. 1712

    Activities of the National economic councils (1957–1964): organizational impasse or the possibility of a breakthrough by A. R. Gapsalamov

    Published 2023-09-01
    “…Under the slogans of territorial administration, in real practice, sectoral centralized administration was preserved. …”
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  13. 1713
  14. 1714

    CO2 Capture in a Fixed Bed Reactor: Experimental and Simulation Study of Adsorption Process Using Li4SiO4-based Sorbents by Eleonora Stefanelli, Flavio Francalanci, Sandra Vitolo, Stefania De Santis, Monica Puccini

    Published 2025-07-01
    “…One of the most pressing challenges facing the energy sector is the urgent need to reduce anthropogenic CO2 emissions while simultaneously meeting the increasing energy demands of a growing global population. …”
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    The Impact of Dynamic Balanced Scorecard in Knowledge-Intensive Organizations’ Business Process Management: A New Approach Evidenced by Small and Medium-Size Enterprises in Latin A... by Fernando Yanine, Felisa M. Cordova, Claudia Duran

    Published 2020-06-01
    “…DBSC has been proposed and utilized extensively over the years as an effective tool to manage and control the dynamics of business processes (BP) and their performance. However, there is little evidence of its application in knowledge-intensive (KI) organizations and how they can develop and enhance key aspects of their business processes, such as product-service systems innovation, and sustainability, for example. …”
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  17. 1717

    CONCERNING AGRICULTURAL EDUCATION PROGRESS IN RUSSIA by Elena N. Akhapkina, Larisa A. Krokhmal

    Published 2015-09-01
    “…In addition, the authors say, in the Russian context agrarian universities are able to become a guarantor of the development of rural areas, helping to overcome the social consequences of reform of the agricultural sector. Another reason is related to the specificity of the educational process in agricultural universities and answers the question why agricultural education is a special form of organization of educational process, which is closely related to the agricultural sector of the country. …”
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  18. 1718

    Evaluation of parenting interventions for those with additional health and social care needs during pregnancy: THRIVE a multi-arm RCT with embedded economic and process components by Marion Henderson, Anja Wittkowski, Katie Buston, Karen Crawford, Alice MacLachlan, Alex McConnachie, Emma McIntosh, Claudia-Martina Messow, Catherine Nixon, Rosaleen O’Brien, Shona Shinwell, Daniel Wight, Yiqiao Xin, Rachel Calam, Ruth Dundas, James Law, Helen Minnis, Lucy Thompson, Philip Wilson

    Published 2025-05-01
    “…CAU and MB vs. CAU). Process evaluation A realist process evaluation (PE) was undertaken and utilised a range of methods, including participant observation, interviews and questionnaires to examine ‘what works for whom in what circumstances?’ …”
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  19. 1719

    An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

    Published 2025-07-01
    “…The proposed method implements a processing pipeline comprised of sample pre-processing, incremental classification with Machine Learning models, and outcome explanation. …”
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  20. 1720

    ANTI-CRISIS REGULATION OF INSURANCE ACTIVITIES by G. A. Nasyrova

    Published 2014-11-01
    “…Suggested classification and structured measures of anti-crisis regulation make it possible to analyze anti-crisis regulation as a complex process, identify its stages and levels which do not have adequate forms or tools of prevention and limitation of negative tendencies that exist in insurance sector.…”
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