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Multi-Label Image Classification by Feature Attention Network
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
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
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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GENERALIZABLE AND SELECTIVE 2D/3D DEEP-MODEL FOR MULTI-VIEW OBJECT CLASSIFICATION
منشور في 2020احصل على النص الكامل
masterThesis -
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Comparative Study on Arabic Text Classification: Challenges and Opportunities
منشور في 2022الموضوعات: "…Arabic text classification…"
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9
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019الموضوعات: "…multi-modal emotion aware systems; speech processing; EEG signal processing; hybrid classification models…"
احصل على النص الكامل
احصل على النص الكامل
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
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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A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
منشور في 2024الموضوعات: -
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Internet of things based multi-sensor patient fall detection system
منشور في 2019احصل على النص الكامل
article -
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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
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
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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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
منشور في 2024الموضوعات: -
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Review on classification of resonant converters for electric vehicle application
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
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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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
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Machine learning approach for the classification of corn seed using hybrid features
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
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. …"