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  1. 321

    Anomaly classification in IIoT edge devices by Danny Alexandro Múnera-Ramírez, Diana Patricia Tobón-Vallejo, Martha Lucía Rodríguez-López

    Published 2025-03-01
    “…Data used to perform the classification comes from a Raspberry Pi 3, specifically from its CPU (e.g., temperature, load, free memory, Wi-Fi sent and received packets). …”
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  2. 322

    Quantum Classification Outside the Promised Class by Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris

    Published 2025-06-01
    “…Typically, quantum classification algorithms allow us to classify functions with a probability of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.0</mn></mrow></semantics></math></inline-formula>, if we are promised that they meet specific unique properties. …”
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  3. 323

    Modern approaches to the chronic glomerulonephritis classification by Irina N. Bobkova, Lidia V. Lysenko, Elena S. Kamyshova, Sergey V. Moiseev

    Published 2025-01-01
    “…Chronic (CGN) glomerulonephritis (GN) is a heterogeneous group of immune-mediated kidney diseases requiring a clear classification system to optimize diagnosis and therapy. …”
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    On the principles of classification of arable soils in Russia by M. S. Simakova

    Published 2018-05-01
    “…It is shown that the profile principle of arable soils classification, implemented in the new classification of Russian soils is not correct. …”
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