Search alternatives:
using classification » image classification (Expand Search), text classification (Expand Search), data classification (Expand Search)
using classification » image classification (Expand Search), text classification (Expand Search), data classification (Expand Search)
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Performance Prediction Using Classification
Published 2019“…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023Subjects: -
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An efficient approach for textual data classification using deep learning
Published 2022“…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …”
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FPGA-Based Network Traffic Classification Using Machine Learning
Published 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
Published 2019Get full text
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Lung cancer medical images classification using hybrid CNN-SVM
Published 2021“…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …”
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
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Machine learning approach for the classification of corn seed using hybrid features
Published 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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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…The final classification decision for both models is estimated by incorporating the node's past behavior with the machine learning algorithm. …”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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A systematic review of text classification research based on deep learning models in Arabic language
Published 2020Subjects: “…Learning management system Neural network algorithms Systematic review Text classification Virtual learning environment…”
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The automation of the development of classification models and improvement of model quality using feature engineering techniques
Published 2023“…The framework allows practitioners and researchers to automatically generate different classification models. This research used High-Resolution Orbitrap-based Mass Spectrometers (HRMS) data to create automated prediction models for the first time in literature. …”