The Significance of AI in Mitigating Risk-Based Disputes in Construction Contracts by RAMADAN, MOHAMED NABIL

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Auto-indexing Arabic texts based on association rule data mining. (c2015) by Rouba G. Nasrallah

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Patterns of lexical cohesion in EFL texts by El-Bacha, Nahla Nola Shalhoub

“…;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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The Grid Iron Patterns & Detached Villas as the Main Drivers of Sharjah City’s Urban Sprawl by MOHAMED, SHAMSELDIN SAEED

“…On the other hand, the same study proved that the grid system and the villa model are the main reason behind the urban sprawl of the city. …”
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“Effectiveness of Text Messaging Intervention on Intuitive Eating by Manana, Batoul

“…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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Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

“…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 by Jezia Zakraoui (14151399)

“…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.…”

Indexing Arabic texts using association rule data mining by Haraty, Ramzi A.

“…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 by Attieh, Joseph

“…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 by Ahmed M. Elkhatat (14152314)

“…However, a two-sample t-test revealed insufficient evidence to support a statistically significant difference between the text-matching percentages of both models. …”

Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

“…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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The Effectiveness of Using the Genre Approach to Enhance the Writing Skills of Grade Seven Students' Writing of Exposition Text Type by Khalil, Wael

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Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation by Attieh, Joseph

“…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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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... by Masri, Oussama Samer

“…Main outcome measure: mean reflectivity of retinal and choroid layers. …”
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Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System by Abualigah, Laith

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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach by OSMAN, TAHA

“…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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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

“…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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Using Machine Learning to Improve Rule based Arabic Named Entity Recognition by Shoaib, Muhammad

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