Showing 1 - 6 results of 6 for search '"binary-three"', query time: 0.09s Refine Results
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    RESEARCH OF VARIOUS ISO-MANIFOLDS IN FOUR COMPONENT SYSTEMS CONTAINING BIAZEOTROPIC BINARY CONSTITUENTS by F. N. Bedretdinov, T. V. Chelyuskina

    Published 2018-02-01
    “…Using the results of the computational experiment based on mathematical model NRTL-HOC we obtained complete data on the vapor-liquid equilibrium in binary, three- and four-component systems. The structures of liquid-vapor phase diagrams were obtained, and thermodynamic-topological analysis of all four-component systems was carried out. …”
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    Deep learning for quantitative dynamic fragmentation analysis by Erwin Cazares, Brian E. Schuster

    Published 2025-03-01
    “…This model extends previous work on the U-net model. Here we trained binary-, three-, and five-class models using supervised learning on experimentally measured dynamic fracture experiments on various opaque structural ceramic materials that were adhered on transparent polymer (polycarbonate or acrylic) backing materials. …”
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    A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews by Shaymaa E. Sorour, Abdulrahman Alojail, Amr El-Shora, Ahmed E. Amin, Amr A. Abohany

    Published 2024-12-01
    “…Extensive experiments were conducted across binary, three-class, and five-class classification tasks, with the proposed model achieving an accuracy of 98% for binary classification, 98% for three-class classification, and 95.21% for five-class classifications. …”
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    A Multi-Class Intrusion Detection System for DDoS Attacks in IoT Networks Using Deep Learning and Transformers by Sheikh Abdul Wahab, Saira Sultana, Noshina Tariq, Maleeha Mujahid, Javed Ali Khan, Alexios Mylonas

    Published 2025-08-01
    “…Our system employs three architectures—Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), and Transformer-based models—to perform binary, three-class, and 12-class classification tasks on the CiC IoT 2023 dataset. …”
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    Rapid Melt Growth of Single Crystal InGaAs on Si Substrates by Xue Bai, Chien-Yu Chen, Niloy Mukherjee, Peter B. Griffin, James D. Plummer

    Published 2016-01-01
    “…Most previous publications have focused on growing binary III–V compounds by RMG, but none have discussed ternary compound materials. …”
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