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Deep Learning for Arabic Image Captioning: A Comparative Study of Main Factors and Preprocessing Recommendations
Published 2021“…When working with Arabic datasets, preprocessing is crucial, and handling Arabic morphological features such as Nunation requires additional steps. …”
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2
Arabic Image Captioning (AIC): Utilizing Deep Learning and Main Factors Comparison and Prioritization.
Published 2022“…When working with Arabic datasets, preprocessing is crucial, and handling Arabic morphological features such as Nunation requires additional steps. …”
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3
Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification
Published 2024“…Various different encoders (DenseNet, MobileNet, ResNet and VGG) were combined with Unet and Unet++ architectures to segment the urethra region. Some preprocessing and postprocessing steps were investigated to improve segmentation performance. …”
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4
A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets
Published 2025“…To support this methodology, we curated large-scale, high-quality datasets comprising 7,000 Arabic and 28,000 English tweets, applying tailored preprocessing steps to ensure efficiency and accuracy. …”
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5
An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study
Published 2024“…It was tested using historical data, and the next step will to involve usability testing with end users.…”