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    EfficientNet with attention and global blocks for accurate pulmonary disease detection in chest CT scans

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    Optimized deep learning architectures for high precision eye blink detection on consumer grade hardware

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    The mediating role of customer value proposition in the relationship between digital financial literacy and AI-driven finance adoption

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    AI-ML driven map-matching algorithm for distinguishing highway and service road vehicular movements under GNSS degradation

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    Application of deep learning in assessing the impact of industrial digitalization and transformation on regional economic development

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    Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data

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    A bibliometric analysis of artificial intelligence based predictive analytics in education

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    A tokenized framework for personalized poster generation in visual communication arts

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    Research on the detection of academic text plagiarism among college students using deep learning

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    Multimodal data fusion and analysis model for virtual reality education based on artificial intelligence

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    Invoiveocr: deep learning based automatic invoice recognition process

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    A hybrid DeiT-CNN model with spatial attention gating for invasive breast cancer detection in H&E-stained images

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    A bibliometric analysis of artificial intelligence and well-being research over the past decade

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    A constructionist approach to negotiating technological pedagogical and content knowledge tensions and synergies in pre-service teacher education

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    Digital World Englishes, by Patricia Friedrich

    Published in Education as Change (2026)
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    Reading comprehension in Sepedi foundation phase by Khelovedu learners

    Published in Reading & Writing (2026)
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    Reconciling work-integrated learning assessment: A collaborative employer–coordinator approach

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    Exploring fixed point results for condensed Kannan-type cyclic maps

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    A stratified ransomware mitigation model based on zero trust and network segmentation architectures

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    A design science approach to semantic alignment: quantifying the curriculum–market gap using NLP-driven vectorization

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