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Cyberbullying Detection in 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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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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FPGA-based Parallel Hardware Architecture for Real-time Object Classification
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Unsupervised Topical Organization of Documents using Corpus-based Text Analysis
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Relevance Feedback Optimization for Digital Forensic Investigations
Published 2019“…The study proposes a framework that integrates different text processing and mining techniques to assist the examiner reach useful information faster. …”
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Littératies numériques et textes multimodaux : l’écriture créative collaborative en classe de FLE
Published 2021“…It focuses on the hybrid and polyphonic nature of the digital text, the processes of its creation and launches a reflection on the challenge of the author's authority in a digital and collaborative writing environment. …”
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Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Published 2025“…Despite these developments, key fossil image processing and analysis tasks, such as segmentation and classification, still require significant user intervention, which can be labor-intensive and subject to human bias. …”
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Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis
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The image as a site of transgression: the case of Beirut counter-visuality since October 2019
Published 2023“…The circulation of the content online inspired a group of artists to remediate the digital image themselves into a series of artistic works, adding in the process additional layers of meaning and interpretation to its original context. …”
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Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review
Published 2022“…Artificial Intelligence (AI) is now combined with traditional diagnostic processes to improve the performance of non-invasive approaches. …”
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