Suchergebnisse - Hexadecimal Local Adaptive Binary Pattern

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    A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning von Subasi, Abdulhamit, Dogan, Sengul, Tuncer, Turker

    ISSN: 1868-5137, 1868-5145
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023
    “… In order to extract meaningful features, we presented a novel one-dimensional hexadecimal pattern …”
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    Journal Article
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    MLBFN optimized with Archimedes optimization Algorithm for SRCE von Kumar Kannaiah, Sathish, Sonaimuthu, Sridevi, Rama Krishnan Alangudi Balaji, Navaneetha, Seshadri Aravinth, Sinnappampatty

    ISSN: 0957-4174
    Veröffentlicht: Elsevier Ltd 01.12.2024
    Veröffentlicht in Expert systems with applications (01.12.2024)
    “… The Internet of Things (IoT) and its devices have become an integral part of the people’s daily lives recently. The growing demand for intelligent applications …”
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    Band power feature part-based convolutional neural network with African vulture optimization fostered channel selection for EEG classification von Selvaraj, Vairaprakash, Alagarsamy, Manjunathan, Datchanamoorthy, Kavitha, Manickam, Geethalakshmi

    ISSN: 1025-5842, 1476-8259, 1476-8259
    Veröffentlicht: England Taylor & Francis 03.10.2025
    “… These pre-processed EEG signals are extracted by hexadecimal local adaptive …”
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    Optimized self‐attention based cycle‐consistent generative adversarial network adopted melanoma classification from dermoscopic images von Harini, P., Madhavi, N. Bindu, Latha, S. Bhargavi, Sasikumar, A. N.

    ISSN: 1059-910X, 1097-0029, 1097-0029
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.06.2024
    Veröffentlicht in Microscopy research and technique (01.06.2024)
    “… Skin is the exposed part of the human body that constantly protected from UV rays, heat, light, dust, and other hazardous radiation. One of the most dangerous …”
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    ML-based categorical boosting with hybrid transfer learning model for enhancing cyber threat intelligence in IoV environment von Supriya, Dhanda, Praveen Krishna, Anne Venkata

    ISSN: 2731-6688, 1658-8150
    Veröffentlicht: 17.10.2025
    “… ) model is employed, leveraging its superior ability to capture both local and global …”
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