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Auto-indexing Arabic texts based on association rule data mining. (c2015)
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masterThesis -
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Patterns of lexical cohesion in EFL texts
Published 1997“…;The findings indicate that there were no significant relations between lexical cohesion as identified by the frequency of bonds or bond distance and text level, but there were significant relations between frequency of a few types of links and text level indicating writing quality. …”
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masterThesis -
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“Effectiveness of Text Messaging Intervention on Intuitive Eating
Published 2022“…Several attempts were developed to teach IE principles such as structured face-to-face interviews, web-based interventions as well as text messaging interventions, being easy to implement and low-cost. …”
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masterThesis -
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Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…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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Improving text-to-image generation with object layout guidance
Published 2022“…According to the obtained assessment results, our object layout guidance-based approach significantly outperforms the abovementioned baseline approaches in terms of the accuracy of semantic matching and realism of the generated images representing the story text sentences.…”
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Indexing Arabic texts using association rule data mining
Published 2019“…The authors also invite researchers to add more pre-requisite texts to have better results. Originality/value In this paper, the authors present a full text-based auto-indexing method for Arabic text documents. …”
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Supervised term-category feature weighting for improved text classification
Published 2022“…In this study, we provide a novel text classification framework for Category-based Feature Engineering titled CFE. …”
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Evaluating the authenticity of ChatGPT responses: a study on text-matching capabilities
Published 2023“…However, a two-sample t-test revealed insufficient evidence to support a statistically significant difference between the text-matching percentages of both models. …”
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Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai
Published 2014“…It is found that the results of linear regression prediction have been improved significantly after adding text mining to the experiments. …”
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Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
Published 2024“…In this paper, we propose to a new text classification solution to perform Category-based Feature Augmentation (CFA) on the document representation. …”
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conferenceObject -
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through...
Published 2021“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach
Published 2023“…Relation extraction from unstructured Arabic text is especially challenging due to the Arabic language com plex morphology and the variation in word semantics and lexical categories. …”
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Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance
Published 2025“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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