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classification based » classification method (Expand Search), classification _ (Expand Search), classification using (Expand Search)
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Learning-Based Automatic Modulation Classification
Published 2015“…A Master of Science thesis in Electrical Engineering by Ameen Elsiddig Abdelmutalab entitled, "Learning-Based Automatic Modulation Classification," submitted in May 2015. …”
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Classification of Refactoring Methods Based on Software Quality Attributes
Published 2008Get full text
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Drone/Bird Classification Based on Features of Tracks Trajectories
Published 2023“…Standard Machine Learning methods such as SVM and Random Forest are used for learning this classification. Features based on the kinematics, Gabor filter, and Gray Level Co-occurrence Matrix are utilized. …”
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Semi Rule-Based Poem Meter Classification of Recited Verses
Published 2020Get full text
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DCT-Based Channel Attention for Multivariate Time Series Classification
Published 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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FPGA-Based Network Traffic Classification Using Machine Learning
Published 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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FPGA-Based Network Traffic Classification Using Machine Learning
Published 2020“…Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. …”
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Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
Published 2015Subjects: Get full text
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Feature fusion based on joint sparse representations and wavelets for multiview classification
Published 2022“…In this paper, wavelet transform is considered to extract high and low frequencies of the views as common aspects to improve the classification rate. The fusion method for the decomposed parts is based on joint sparse representation in which a number of scenarios can be considered. …”
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Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images
Published 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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FPGA-based Parallel Hardware Architecture for Real-time Object Classification
Published 2014“…A Master of Science thesis in Computer Engineering by Murad Mohammad Qasaimeh entitled, "FPGA-based Parallel Hardware Architecture for Real-time Object Classification," submitted in June 2014. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …”
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Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
Published 2020“…To this aim, we propose an AL-based FL framework by employing and evaluating several AL methods in two different application domains. …”
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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification
Published 2023“…Manual methods of malaria diagnosis are time-consuming that require a great deal of human expertise and efforts. Computer-based automated diagnosis of diseases is progressively becoming popular. …”
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”
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NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY
Published 2022“…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …”
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