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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
Published 2019“…Second, a hybrid genetic-whale optimization algorithm was proposed to optimize ontology learning from Arabic text. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.…”
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A systematic review of text classification research based on deep learning models in Arabic language
Published 2020“…Classifying or categorizing texts is the process by which documents are classified into groups by subject, title, author, etc. …”
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …”
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
Published 2011Get full text
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Segmenting Handwritten Arabic Text
Published 2002“…In this work a technique is presented that segments difficult handwritten Arabic text. A conventional algorithm is used for the initial segmentation of the text into connected blocks of characters. …”
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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An efficient approach for textual data classification using deep learning
Published 2022“…Similarly, deep learning offers enormous benefits for text classification since they execute highly accurately with lower-level engineering and processing. …”
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A Framework for Predictive Modeling in Sustainable Projects
Published 2012Get full text
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Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…Therefore, this study aims to evaluate several versions of Recurrent Neural Networks (RNNs) and Feedforward Neural Networks (FNNs) for detecting cyberbullying in the Arabic language. Although these algorithms are widely used in text classification and outperform the performance of classical classifiers, many have been extensively investigated in other domains such as sentiment analysis and dialect identification, as well as cyberbullying detection in English text. …”
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A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text
Published 2001“…A conventional algorithm is used for the initial segmentation of the text into connected blocks of characters. …”
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Supervised term-category feature weighting for improved text classification
Published 2022“…Text classification is a central task in Natural Language Processing (NLP) that aims at categorizing text documents into predefined classes or categories. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.…”
Get full text
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Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation
Published 2017“…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …”
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article