بدائل البحث:
using classification » _ classification (توسيع البحث), image classification (توسيع البحث), text classification (توسيع البحث)
classification based » classification method (توسيع البحث), classification _ (توسيع البحث), classification using (توسيع البحث)
using classification » _ classification (توسيع البحث), image classification (توسيع البحث), text classification (توسيع البحث)
classification based » classification method (توسيع البحث), classification _ (توسيع البحث), classification using (توسيع البحث)
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FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2019"…A Master of Science thesis in Computer Engineering by Mohammed Elnawawy entitled, “FPGA-Based Network Traffic Classification Using Machine Learning”, submitted in November 2019. …"
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doctoralThesis -
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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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Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images
منشور في 2020"…By combining 20% of the samples collected from test subjects into the training data, the calibrated generic models’ accuracy was improved and outperformed the generic performance across both the spatial and frequency domain images. The average classification accuracy of 99.6%, 99.9%, and 88.1%, and 99.2%, 97.4%, and 87.6% were obtained for the training set, validation set, and test set, respectively, using the calibrated generic classification-based method for the series of inter-beat interval (IBI) spatial and frequency domain images. …"
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Machine learning approach for the classification of corn seed using hybrid features
منشور في 2020"…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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Feature modeling using polynomial classifiers and stepwise regression
منشور في 2010"…Two application scenarios are used to test the proposed solution, namely; image-based hand recognition and video-based recognition of isolated sign language gestures. …"
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Learning-Based Automatic Modulation Classification
منشور في 2015احصل على النص الكامل
doctoralThesis -
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On the Use of Deep Learning for Video Classification
منشور في 2023"…The paper also summarizes the benchmark datasets and the performance evaluation matrices for video classification. Based on the compact, complete, and concise review, the paper proposes new research directions to solve the challenging video classification problem.…"
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Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
منشور في 2022"…Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a higher risk of foot ulceration. …"
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A Convolutional Neural Network-Based Framework for Classification of Protein Localization Using Confocal Microscopy Images
منشور في 2022"…Hence, this study aims to develop a deep learning-based system for the multi-label classification of HPA. …"
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
منشور في 2022"…There are many techniques that can be used for fruit classification using computer vision technology. …"
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Drone/Bird Classification Based on Features of Tracks Trajectories
منشور في 2023"…This paper presents the outcome of several machine learning techniques used for the task of bird/drone classification based on their tracks. …"
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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
منشور في 2023"…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …"
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DCT-Based Channel Attention for Multivariate Time Series Classification
منشور في 2025"…<p dir="ltr">This article introduces a novel DCT-based channel attention (DCA) mechanism for time series classification (TSC) using convolutional neural networks (CNNs). …"
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Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
منشور في 2015"…The dataset is collected using sensor-based gloves. We propose a novel set of features suitable for sensor readings based on covariance, smoothness, entropy and uniformity. …"
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