يعرض 1 - 20 نتائج من 93 نتيجة بحث عن 'multi-_ classification', وقت الاستعلام: 0.06s تنقيح النتائج
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    Multi-Label Image Classification by Feature Attention Network حسب Zheng Yan (194231)

    منشور في 2019
    "…<p dir="ltr">Learning the correlation among labels is a standing-problem in the multi-label image recognition task. The label correlation is the key to solve the multi-label classification but it is too abstract to model. …"
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    General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks حسب Sawsan S. Sayed (16896414)

    منشور في 2021
    "…<p>The recent massive global movement towards green energy in power systems has raised the efforts of integrating large-scale Renewable Energy Sources (RESs) through Multi-Terminal HVDC (MTDC) systems. The configuration of the MTDC system and the possibility of transnational interconnection impose some challenges and raise the potential of single or multi-objective control for the DC voltage control. …"
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    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

    منشور في 2024
    "…<p dir="ltr">Clustering has proved to be a successful classification method when it comes to dealing with multiview data. …"
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    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    الموضوعات: "…multi-modal emotion aware systems; speech processing; EEG signal processing; hybrid classification models…"
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    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

    منشور في 2025
    "…In this study, we introduce an innovative method for the multi-classification of breast cancer histopathological images utilizing Bidirectional Recurrent Neural Networks (BRNN). …"
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    Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks حسب S. N. V. Bramareswara Rao (21768302)

    منشور في 2024
    "…With this intent, this work proposes a “Discrete Wavelet Transform with Deep Neural Network (DWT-DNN)” for detecting and classifying the various faults that occurred in hybrid energy-based multi-area grid-connected microgrid clusters. The proposed DWT-DNN first extracts the input features from the point of common coupling of the cluster system using DWT, and then, these decomposed features are applied as input variables to train the DNN for the detection and classification of various faults. …"
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    An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method حسب Heba Soliman Zaina (16904787)

    منشور في 2022
    "…An accuracy result of 89.80 was reported for multi-class classification of 4 stages of Alzheimer disease (Cognitive Normal, Early Mild Cognitive Impairment, Late Mild Cognitive Impairment and Alzheimer Disease) for both Gray Matter (GM) and White Matter (WM). …"
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    Review on classification of resonant converters for electric vehicle application حسب Sheetal Deshmukh (Gore) (17148340)

    منشور في 2021
    "…However, the detailed classification of resonant converters used in EVs is not sufficiently discussed in the literature. …"
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    Harmonizing Bilingual Layouts: A Proposal of Latin–Arabic Typographic Classifications حسب Abdel Baki, Randa

    منشور في 2023
    "…It aims to serve as an initial model for other multi scripts approaches. It stages the process and the challenges of designing bilingual systems. …"
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    article
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    Machine learning approach for the classification of corn seed using hybrid features حسب Aqib Ali (19680145)

    منشور في 2020
    "…The nine optimized features have been acquired by employing the correlation-based feature selection (CFS) technique with the Best First search algorithm. To build the classification models, Random forest (RF), BayesNet (BN), LogitBoost (LB), and Multilayer Perceptron (MLP) were employed using optimized multi-feature using (10-fold) cross-validation approach. …"
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    Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning حسب Abdus Salam (1918387)

    منشور في 2025
    "…The proposed framework integrates a DenseNet201 backbone, Feature Pyramid Network (FPN), and Self-Organizing Neural Network (SelfONN) layers to enable multi-scale feature extraction and improve spatial precision. …"