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    Finite Element Model-Based Weight-Over Process Philosophy for Bridge Loading Capacity Evaluation and Rating Factor Estimation by Ali Karimpour, Salam Rahmatalla, Hossein Bolboli Ghadikolaee

    Published 2021-01-01
    “…This article presents the weight-over process (WOP), a novel computer-aided approach to bridge loading capacity evaluation based on tonnage and rating factor estimation. …”
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  3. 5103

    THEORETICAL STUDIES OF THE LEACHING PROCESS OF THE MUDDING ELEMENT IN THE GRAVEL PACKAGE OF THE WELL FILTER USING THE UNIT FOR REVERSE-REAGENT REGENERATION by I. E. Ivanova, V. V. Ivashechkin, V. V. Veremenyuk

    Published 2018-01-01
    “…The advantage of the unit is the absence of a circulating pump in its composition and the possibility of efficient processing of the limited filter interval. The downhole submersible device does not contain moving parts except for two floating check valves. …”
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    A Circuit-Model-Navigated Design Process and Efficiency Estimation for Short-Circuited Self-Excited EBG Resonator Antenna by Mehdi Hosseini

    Published 2016-01-01
    “…The paper presents a circuit model for the computationally efficient design of a planar Short-Circuited Self-Excited EBG Resonator Antenna (SC SE-EBG-RA). …”
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    Non-global logarithms up to four loops at finite-N c for V/H+jet processes at hadron colliders by Kamel Khelifa-Kerfa

    Published 2024-10-01
    “…In general, the gross features of the non-global logarithm distribution observed in the e + e − case remain valid for the V/H+jet processes.…”
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    Power Quality 24 h Verification in Smart Load Scheduling Based on Differentiate, Deep, and Assembly Statistics in NWP Processing by Ladislav Zjavka

    Published 2025-01-01
    “…AI statistics allow processing entire 24 h forecast series, replacing related real-valued quantities available in learning stage, to compute final PQ targets at the corresponding prediction times. …”
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    Quantifying Dynamic Oil Immersion in a Spiral Bevel Gear via Image Processing for Improved Churning Loss Prediction by Yu Dai, Xin Huang, Jianfeng Zhong, Caihua Yang, Xiang Zhu

    Published 2025-05-01
    “…To quantify the practical immersion depth, a computational fluid dynamics (CFD) approach integrated with image processing techniques is utilized to determine the dynamic immersion depth and the associated churning power loss. …”
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