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    Frequency Limited & Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System by Sajid Bashir, Sammana Batool, Muhammad Imran, Mian Ilyas Ahmad, Fahad Mumtaz Malik, Muhammad Salman, Abdul Wakeel, Usman Ali

    Published 2021-01-01
    “…The frequency weighting and limited frequency-intervals-based model order reduction techniques presented by Enns’s and Wang & Zilouchian produce an unstable reduced-order model at certain frequency weights and frequency intervals, respectively. To overcome this main drawback, many researchers provided a solution to preserve the stability of the reduced-order model. …”
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    The machine learning in the prediction of elections by M.S.C. José A. León-Borges, M.A. Roger-Ismael-Noh-Balam, Lic. Lino Rangel Gómez, Br. Michael Philip Strand

    Published 2015-05-01
    “…This research article, presents an analysis and a comparison of three different algorithms: A.- Grouping method K-means, B.…”
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    Article
  6. 226

    Prospects of integrative and hybrid approaches to assessing undeclared work by Cymbal О. І., Ostafiichuk Ya. V.

    Published 2024-12-01
    “…The article considers the prospects for the formation of a new methodology for researching undeclared work in order to develop an evidence-based policy on to minimize it. …”
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  7. 227

    A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

    Published 2025-01-01
    “…This review article aimed to provide comprehensive information on the Machine Learning and Deep Learning algorithms applied in Mexico. A total of 120 original research papers were included and details such as trends in publication, spatial location, institutions, publishing issues, subject areas, algorithms applied, and performance metrics were discussed. …”
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  8. 228

    Review of optimization modeling and solution of long-distance natural gas pipeline network by Peng ZHOU, Qi WEI

    Published 2023-09-01
    “…Presently, the modeling methods based on the physical attributes are mainly researched for the optimization model of natural gas pipeline networks in China. …”
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    Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

    Published 2025-02-01
    “…After the emergence of turbo-machines in the industrial field, researchers have always been seeking to increase their efficiency. …”
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    Application of Kalman Filter to Estimate Dynamic Hedge Ratio in Pairs Trading Strategy: A Case Study of the Automobile Industry by Mohammad Javad Nourahmadi, Marziyeh Norahmadi

    Published 2023-03-01
    “…Of course, as with all trading strategies, the more you use them, the less likely you will make a profit. In this research, the co-integration method was used to select the pair of stocks, and based on the space-state approach and using the Kalman filter algorithm, the dynamic hedge ratio was estimated to provide trading signals. …”
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    Raising the Quality of Spesialists’ Training: the Procedure Selection by M. N. Oskina

    Published 2015-03-01
    “…The application of the priority selection algorithm is exemplified by the procedures conducted in Ural State University of Railway Transport. …”
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    Enhancing Privacy in IoT Networks: A Comparative Analysis of Classification and Defense Methods by Ahmet Emre Ergun, Ozgu Can, Murat Kantarcioglu

    Published 2025-01-01
    “…Although traffic encryption is employed to protect the privacy of IoT devices, attackers can still leverage Machine Learning (ML) and Deep Learning (DL) techniques to classify device types by analyzing packet characteristics, such as size and timing. The main challenges in the state of the art are the lack of effective methods for exposing privacy violations in encrypted IoT traffic, and the absence of robust defense mechanisms to mitigate privacy breaches caused by network traffic analysis. …”
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    Integrating Moral Values in AI: Addressing Ethical Challenges for Fair and Responsible Technology by Khushboo Shah, Hiren Joshi, Hardik Joshi

    Published 2025-02-01
    “…In the end, the paper highlights current AI development and future scopes. The main aim of this research is to promote justice and fairness in AI decisions for the overall well-being of society.…”
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