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    Scalable and energy-efficient task allocation in industry 4.0: Leveraging distributed auction and IBPSO. by Qingwen Li, Tang Wai Fan, Lam Sui Kei, Zhaobin Li

    Published 2025-01-01
    “…The main contributions we make are: the design of an auction decentralization algorithm (AOCTA) which allows for an efficient and flexible task distribution in dynamic contexts, the optimization of coalition formation in complex jobs by using IBPSO and improves the efficiency of energy and decreases the cost of computation as well as thorough simulations that show that our proposed method significantly surpasses conventional methods for efficiency, task completion rates in terms of energy usage, task completion rate, and scaling of the system. …”
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  4. 1124

    Identifying potential threats to economic security in a commercial organization by O. A. Ageeva, Yu. D. Matytsyna

    Published 2023-12-01
    “…The article reveals methods of identifying potential threats to economic security of commercial organization, primarily the algorithm of express diagnostics of its financial and economic activities. …”
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  5. 1125

    Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering by Piotr Szczepocki

    Published 2024-03-01
    “…Originality/Value: The main contribution of the paper is the proposition of a new estimation method for the Cholesky Multivariate Stochastic Volatility Model based on iterated filtering algorithm This is one of the few frequentist-based statistical inference methods for multivariate stochastic volatility models.…”
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    Clinical and histological criteria for sex cord ovarian stromal tumors by A. М. Beishembaev, K. I. Zhordania

    Published 2020-09-01
    “…The retrospective non-comparative study was based on the main inclusion such as histologically verified sex cord OSTs. …”
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  12. 1132

    Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks by Mobin Shaterian, Mohammad Teshnehlab

    Published 2020-09-01
    “…The main purpose of this research is finding major characteristics of clinical signs in the diagnosis of neuropathic disease in patients with chronic long-term pain. …”
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    OPTIMSM: FPGA hardware accelerator for Zero-Knowledge MSM by Xander Pottier, Thomas de Ruijter, Jonas Bertels, Wouter Legiest, Michiel Van Beirendonck, Ingrid Verbauwhede

    Published 2025-03-01
    “…In recent years, hardware acceleration of this algorithm on both FPGA and GPU has become a popular research topic and the subject of a multi-million dollar prize competition (ZPrize). …”
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  15. 1135

    The sustainable energy development dilemma in European countries: a time-series cluster analysis by Víctor Dugo, David Gálvez-Ruiz, Pilar Díaz-Cuevas

    Published 2025-08-01
    “…This vector is used as input, and the Lin distance and Ward algorithm are applied to group the countries in the final step. …”
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    URGENT DIAGNOSTICS OF CEREBRAL VENOUS TROMBOSIS by L. M. Tibekina, T. A. Shumakova, A. A. Nikolaeva, Yu. A. Shcherbuk

    Published 2016-10-01
    “…Investigations were carried out in 24 patients in order to evaluate information value of the data of clinical, laboratory, neuroradiological methods of research and develop the diagnostic algorithm in case of cerebral venous thrombosis (CVT). …”
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  18. 1138

    Experimental study of gas–oil relative permeability curves at immiscible/near miscible gas injection in highly naturally fractured reservoir by Mohammad Parvazdavani, Saeed Abbasi, MohammadReza Zare-Reisabadi

    Published 2017-03-01
    “…The main aim of this work is to investigate gas–oil relative permeability curves as the main flow function in different gas injection scenarios, immiscible and near miscible in case of highly fractured reservoirs. …”
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  19. 1139

    Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

    Published 2024-11-01
    “…Subsequently, the optimized K-means algorithm, utilizing K-means++ for clustering centre initialization and determining the optimal number of clusters via Silhouette coefficients, is employed to segment the fruit stalk region. …”
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  20. 1140