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  1. 781

    Accuracy of the 'Benish' and 'Developed Benish' Models in Predicting the Probability of Restating Financial Statements in Iran's Economic Environment by Sasan Mehrani, Akbar Rahimipoor

    Published 2024-09-01
    “…The overall accuracy of the model regarding the developed model of Benish was estimated at 68.68%. …”
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    Parametric deep learning model for predicting bearing capacity of strip foundation via neural operator by Tongtong Niu, Maosong Huang, Jian Yu

    Published 2025-05-01
    “…Abstract Strip foundations, as a widely applied form of shallow foundation, involve foundation displacements and soil deformations under loading, which are critical issues in geotechnical engineering. Traditional limit analysis methods can only provide solutions for ultimate bearing capacity, while numerical methods require remeshing and remodeling for different scenarios. …”
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    A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing by Alireza Entezami, Bahareh Behkamal, Carlo De Michele, Stefano Mariani

    Published 2023-11-01
    “…Small data analytics, at the opposite extreme of big data analytics, represent a critical limitation in structural health monitoring based on spaceborne remote sensing technology. Besides the engineering challenge, small data is typically a demanding issue in machine learning applications related to the prediction of system evolutions. …”
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    Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

    Published 2025-09-01
    “…While high-fidelity simulations may suffice for small-scale examples typically found in the literature, they become impractical for real-world components with large numbers of unit cells and repeated execution of the simulations. To address this issue, a model order reduction method (MOR) is proposed in this study, transitioning from a high-fidelity solid model to a computationally more efficient lower-fidelity beam model. …”
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  14. 794

    Traffic Modeling and Access Control for Machine Type Communications:A Comprehensive Survey by Xin Jian, Xiaoping Zeng

    Published 2015-08-01
    “…The historical development,traffic characteristics,potentials and challenges of machine type communications(MTC)were introduced.A comprehensive survey on the traffic modeling and access control for the concurrent data transmission from massive MTC devices was made.With the recommendations on traffic engineering suggested by International Telecommunication Union (ITU)and International Teletraffic Congress (ITC),some important issues and key problems in the fields of traffic characteristics analysis,traffic modeling and access control for MTC were summarized,in order to provide engineers and researchers insights on the improved performance analysis and enhanced access control for carrier network,which would promote the deployment and standardization of MTC and internet of things.…”
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    Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

    Published 2025-03-01
    “…Simulation results are presented, showcasing reactor behavior during sudden reactivity changes while considering feedback effects. The developed model is open-source, enabling scientists and engineers to use it for analyzing, optimizing, and managing nuclear reactors, thereby contributing to technological advancements and knowledge dissemination in this field.…”
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