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  1. Automatic, location-privacy preserving dashcam video sharing using blockchain and deep learning

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  2. Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks

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  3. Utilising Machine Learning and Single‐Cell Analysis to Uncover SKCM Metastasis–Related Genes

    Published in IET Systems Biology (2026)
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  4. Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures

    Published in IET Systems Biology (2026)
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  5. Predicting online shopping intentions using TabNet-based ensemble learning approach

    Published in JDSA (2026)
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  6. RETRACTION: The Design of Adolescents’ Physical Health Prediction System Based on Deep Reinforcement Learning

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  7. RETRACTION: Food Image Recognition and Food Safety Detection Method Based on Deep Learning

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  8. RETRACTION: Face Recognition Method under Adaptive Image Matching and Dictionary Learning Algorithm

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  9. Practicing Professionalism in Spanish for Specific Purposes Courses: Learning Objectives and "Professional Interpersonal Communication"

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  10. ESP for Biotechnology Purposes in Serbian Higher Education: the Skills Required and Blended Learning Environment

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  11. UNDERSTANDING UNIVERSITY STUDENTS’ E-LEARNING ADOPTION IN THE MIDDLE EAST: AN APPLICATION OF THE UTAUT MODEL

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  12. Traffic Pattern Recognition Using IoT Sensors and Machine Learning: A Comprehensive Review

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  13. Community Engagement in a Former Steel Town: The Role of a Living-Learning Community

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  14. A Taste of Learning: A Collaborative Early Childhood Pilot Project at Grocery Stores

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  15. Entering the Era of Data Science: Targeted Learning and the Integration of Statistics and Computational Data Analysis

    Published in Advances in Statistics (2014)
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  16. Student preferences for microbiology laboratory teaching approaches in a problem-based learning curriculum

    Published in Access Microbiology (2026)
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  17. Generative Augmentation and Temporal Feature Extraction With Deep Learning for Enhanced Malaria Stage Classification

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  18. Forecasting Philippine Rice Prices: Comparison of Traditional Time Series and Machine Learning Models

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  19. A Comparative Statistical Analysis of Machine Learning Regression Models for Economic Indicator Forecasting

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