بدائل البحث:
comparing classification » using classification (توسيع البحث)
classification using » classification _ (توسيع البحث)
comparing classification » using classification (توسيع البحث)
classification using » classification _ (توسيع البحث)
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Comparative Study on Arabic Text Classification: Challenges and Opportunities
منشور في 2022"…This paper presents a comparative study based on a list of chosen published papers that focus on improving Arabic text classifications, to highlight the given models and the used classifiers besides discussing the faced challenges in these types of researches, then this paper proposes the expected research opportunities in the field of text classification research. …"
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2
Performance Prediction Using Classification
منشور في 2019"…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …"
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3
Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions
منشور في 2024"…This proposed fault diagnosis model adapts to different work environments and enhances fault classification at variable working conditions. The performance of the proposed model is evaluated using various metrics such as confusion matrix heatmap, t-SNE plot, precision-recall curve and learning curve. …"
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Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges
منشور في 2022"…This paper provides a concise and comprehensive review and comparative study of the most recent DL models used for LLI enhancement. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
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FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2020"…The proposed design achieves an average throughput of 163.24 Gbps, exceeding throughputs of reported hardware-based classifiers that use comparable approaches, which in turn ensures the continuity of realtime traffic classification at congested data centers.…"
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FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2019احصل على النص الكامل
doctoralThesis -
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Low-Light Image Enhancement for Object Classification using Deep Learning
منشور في 2021"…In this thesis, we perform a concise and comprehensive review and comparative study of the most recent DL models used for LLI enhancement. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
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Lung cancer medical images classification using hybrid CNN-SVM
منشور في 2021"…Computer-Aided Detection (CAD) has been used to process CT images of the lung to determine whether an image has traces of cancer. …"
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Machine learning approach for the classification of corn seed using hybrid features
منشور في 2020"…A comparative analysis of four ML classifiers, the MLP performed outstanding classification accuracy (98.93%), on ROIs size (150 × 150). …"
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Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach
منشور في 2024"…Early and accurate diagnosis using non-invasive medical imaging is critical for successful treatment and patient survival. …"
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
منشور في 2019"…The parameters that affect the behaviour of asphalt have been used to predict the results using the CART. The results obtained from CART analysis were also compared with those from the regression model. …"
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The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…This framework can generate different machine learning models, which provide comparable results compared to other studies. The framework allows practitioners and researchers to automatically generate different classification models. …"
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Using machine learning for disease detection. (c2013)
منشور في 2016احصل على النص الكامل
احصل على النص الكامل
masterThesis -
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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models
منشور في 2022"…The architecture used for classification was EfficientNet-B0. These are compound-scaling based models proposed by Google that are pretrained on ImageNet and have an accuracy of 74% to 84% in top-1 over ImageNet. …"
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An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
منشور في 2021"…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"