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  1. 16321

    Typification of the Economically Important Species <i>Thyreophagus entomophagus</i> (Acari: Astigmata: Acaridae) Used for the Industrial Production of Predatory Mites: The Designat... by Pavel B. Klimov, Vasiliy B. Kolesnikov, Alexander A. Khaustov, Vladimir A. Khaustov, Jonas Merckx, Marcus V. A. Duarte, Dominiek Vangansbeke, Ilse Geudens, Almir Pepato

    Published 2025-01-01
    “…The mite <i>Thyreophagus entomophagus</i> is a cosmopolitan species of significant economic importance in biocontrol applications, serving as a factitious prey for the mass rearing of predatory mites. …”
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    Article
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    Internet of Things (IoT) technologies: features, development prospects and potential threats by Daria Margaza, Yurii Yurchenko

    Published 2024-11-01
    “…The study highlights technological developments, emerging applications, and possible security threats in different fields. …”
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    Article
  5. 16325

    Bridging sentiment and finance: An exploration of BOD statements and bank ratios in Jordan by Raed Kanakriyah, Abeer Al-Faouri, Murad Y. Abuaddous, Riyad Alhindawi

    Published 2024-10-01
    “…Additionally, the possibility of real-time sentiment analysis enables the dynamic monitoring of banking institutions' financial health as updated data becomes available. Social implications: The study’s results are valuable to users of financial information, aiding the Association of Banks and the Central Bank of Jordan in formulating policies for the banking sector. …”
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    Article
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    Efecto del ecosistema de big data en la gestión del conocimiento y el diseño organizativo: caso de estudio exploratorio en el sector de los biocombustibles by Erik Daniel Maldonado Ascanio, Francisco Balbastre Benavent

    Published 2023-02-01
    “…This exploratory case study serves as a valuable contribution to the understanding of the broader implications of big data ecosystem implementation in organizations. …”
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    Article
  8. 16328

    IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 by Ahmad Saeed Mohammad, Thoalfeqar G. Jarullah, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani, Somdip Dey

    Published 2024-09-01
    “…IoT applications revolutionize industries by enhancing operations, enabling data-driven decisions, and fostering innovation. …”
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    Article
  9. 16329

    Machine Learning-Driven Customer Segmentation: A Behavior-Based Approach for F&B Providers by Jacint JUHASZ

    Published 2025-12-01
    “…Using one year of invoice-level transactional data from a Romanian Food and Beverage (F&B) provider serving restaurants and coffee shops, the research aims to deliver actionable insights to enhance marketing and sales strategies. …”
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    Laboratory Studies on Absolute n-resolved Charge-exchange Cross Sections and Modeling X-Ray Emissions for Ne8+ Colliding with H2 and He by P. F. Ma, H. Yin, B. Ren, T. Meng, J. Wang, Y. Wu, X. Tan, Y. Zhang, Y. Qi, K. Yao, J. Xiao, Y. Zou, B. Tu, B. Wei

    Published 2024-01-01
    “…In comparison with existing atomic data, we observe good agreement with other results at overlapping energies. …”
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  12. 16332

    Optimizing Solid Rocket Missile Trajectories: A Hybrid Approach Using an Evolutionary Algorithm and Machine Learning by Carlo Ferro, Matteo Cafaro, Paolo Maggiore

    Published 2024-11-01
    “…Following trajectory optimization, the derived data are used to train an ML model that predicts setup parameters, significantly reducing computational costs and time. …”
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    UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review by Zhen Zhang, Lehao Huang, Qingwang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yanfeng Gu

    Published 2025-01-01
    “…Furthermore, this article delves into cutting-edge research trends, such as lightweight model development, hyperspectral large models, multisource data fusion, and model interpretability, while also highlighting future trends for UAV hyperspectral remote sensing classification technology, particularly in real-time monitoring and intelligent applications.…”
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  15. 16335

    Benchmarking Analysis of Railway Infrastructure Managers: A Hybrid Principal Component Analysis (PCA), Grey Best–Worst Method (G-BWM), and Assurance Region Data Envelopment Analysi... by Snežana Tadić, Aida Kalem, Mladen Krstić, Nermin Čabrić, Adisa Medić, Miloš Veljović

    Published 2025-03-01
    “…To address these challenges, this study proposes a hybrid benchmarking model that integrates Principal Component Analysis (PCA) to identify key performance indicators (KPIs) and reduce data dimensionality, the Grey Best–Worst Method (G-BWM) to determine KPI weight coefficients based on expert evaluations, and Assurance Region Data Envelopment Analysis (AR-DEA) to assess the relative efficiency of RIMs while incorporating real-world constraints. …”
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    Signal Synchronization, Collection and Transmission for Multichannel Distribution Seismic Antenna by A. D. Volodin, A. L. Efimenko, A. V. Gorlin, D. A. Kuzmin

    Published 2018-02-01
    “…The article considers a structure of data transmission system from a big number of sources for application in seismic antennas. …”
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